Define Performance Architectures 28% Flashcards
Q: An Application Load Balancer is fronting an Auto Scaling Group of EC2 instances, and the instances are backed by an RDS database. The Auto Scaling Group has been configured to use the Default Termination Policy. You are testing the Auto Scaling Group and have triggered a scale-in. Which instance will be terminated first?
A:The instance launched from the oldest launch configuration.
What do we know? The ASG is using the Default Termination Policy. The default termination policy is designed to help ensure that your instances span Availability Zones evenly for high availability. The default policy is kept generic and flexible to cover a range of scenarios. The default termination policy behavior is as follows: Determine which Availability Zones have the most instances, and at least one instance that is not protected from scale in. Determine which instances to terminate so as to align the remaining instances to the allocation strategy for the on-demand or spot instance that is terminating. This only applies to an Auto Scaling Group that specifies allocation strategies. For example, after your instances launch, you change the priority order of your preferred instance types. When a scale-in event occurs, Amazon EC2 Auto Scaling tries to gradually shift the on-demand instances away from instance types that are lower priority. Determine whether any of the instances use the oldest launch template or configuration: [For Auto Scaling Groups that use a launch template] Determine whether any of the instances use the oldest launch template unless there are instances that use a launch configuration. Amazon EC2 Auto Scaling terminates instances that use a launch configuration before instances that use a launch template. [For Auto Scaling Groups that use a launch configuration] Determine whether any of the instances use the oldest launch configuration. After applying all of the above criteria, if there are multiple unprotected instances to terminate, determine which instances are closest to the next billing hour. If there are multiple unprotected instances closest to the next billing hour, terminate one of these instances at random.
Q: Your company is slowly migrating to the cloud and is currently in a hybrid environment. The server team has been using Puppet for deployment automations. The decision has been made to continue using Puppet in the AWS environment if possible. If possible, which AWS service provides integration with Puppet?
A: AWS OpsWorks
AWS OpsWorks for Puppet Enterprise is a fully-managed configuration management service that hosts Puppet Enterprise, a set of automation tools from Puppet for infrastructure and application management. OpsWorks also maintains your Puppet master server by automatically patching, updating, and backing up your server. OpsWorks eliminates the need to operate your own configuration management systems or worry about maintaining its infrastructure. OpsWorks gives you access to all of the Puppet Enterprise features, which you manage through the Puppet console. It also works seamlessly with your existing Puppet code.
Q: A software gaming company has produced an online racing game which uses CloudFront for fast delivery to worldwide users. The game also uses DynamoDB for storing in-game and historical user data. The DynamoDB table has a preconfigured read and write capacity. Users have been reporting slow down issues, and an analysis has revealed that the DynamoDB table has begun throttling during peak traffic times. Which step can you take to solve the throttling issue?
A: Make sure DynamoDB Auto Scaling is turned on.
Amazon DynamoDB auto scaling uses the AWS Application Auto Scaling service to dynamically adjust provisioned throughput capacity on your behalf, in response to actual traffic patterns. This enables a table or a global secondary index to increase its provisioned read and write capacity to handle sudden increases in traffic, without throttling. When the workload decreases, Application Auto Scaling decreases the throughput so that you don’t pay for unused provisioned capacity. Note that if you use the AWS Management Console to create a table or a global secondary index, DynamoDB auto scaling is enabled by default. You can modify your auto scaling settings at any time.
Q: A professional baseball league has chosen to use a key-value and document database for storage, processing, and data delivery. Many of the data requirements involve high-speed processing of data such as a Doppler radar system which samples the position of the baseball 2000 times per second. Which AWS data storage can meet these requirements?
A:DynamoDB
Amazon DynamoDB is a NoSQL database that supports key-value and document data models, and enables developers to build modern, serverless applications that can start small and scale globally to support petabytes of data and tens of millions of read and write requests per second. DynamoDB is designed to run high-performance, internet-scale applications that would overburden traditional relational databases.
Q: A team of architects is designing a new AWS environment for a company which wants to migrate to the Cloud. The architects are considering the use of EC2 instances with instance store volumes. The architects realize that the data on the instance store volumes are ephemeral. Which action will not cause the data to be deleted on an instance store volume?
A:Reboot
Some Amazon Elastic Compute Cloud (Amazon EC2) instance types come with a form of directly attached, block-device storage known as the instance store. The instance store is ideal for temporary storage, because the data stored in instance store volumes is not persistent through instance stops, terminations, or hardware failures.
Q: You have been assigned to create an architecture which uses load balancers to direct traffic to an Auto Scaling Group of EC2 instances across multiple Availability Zones. You were considering using an Application Load Balancer, but some of the requirements you have been given seem to point to a Classic Load Balancer. Which requirement would be better served by an Application Load Balancer?
A: Path-based routing
Using an Application Load Balancer instead of a Classic Load Balancer has the following benefits:
* Support for path-based routing. You can configure rules for your listener that forward requests based on the URL in the request. This enables you to structure your application as smaller services, and route requests to the correct service based on the content of the URL. * Support for host-based routing. You can configure rules for your listener that forward requests based on the host field in the HTTP header. This enables you to route requests to multiple domains using a single load balancer. * Support for routing based on fields in the request, such as standard and custom HTTP headers and methods, query parameters, and source IP addresses. * Support for routing requests to multiple applications on a single EC2 instance. You can register each instance or IP address with the same target group using multiple ports. * Support for redirecting requests from one URL to another. * Support for returning a custom HTTP response. * Support for registering targets by IP address, including targets outside the VPC for the load balancer. * Support for registering Lambda functions as targets. * Support for the load balancer to authenticate users of your applications through their corporate or social identities before routing requests. * Support for containerized applications. Amazon Elastic Container Service (Amazon ECS) can select an unused port when scheduling a task and register the task with a target group using this port. This enables you to make efficient use of your clusters. * Support for monitoring the health of each service independently, as health checks are defined at the target group level and many CloudWatch metrics are reported at the target group level. Attaching a target group to an Auto Scaling Group enables you to scale each service dynamically based on demand. * Access logs contain additional information and are stored in compressed format. * Improved load balancer performance.
Q: Your company uses IoT devices installed in businesses to provide those business real-time data for analysis. You have decided to use AWS Kinesis Data Firehose to stream the data to multiple backend storing services for analytics. Which service listed is not a viable solution to stream the real time data to?
A: Athena
Amazon Athena is correct because Amazon Kinesis Data Firehose cannot load streaming data to Athena. Amazon Kinesis Data Firehose is the easiest way to load streaming data into data stores and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.
Q: A large, big-box hardware chain is setting up a new inventory management system. They have developed a system using IoT sensors which captures the removal of items from the store shelves in real-time and want to use this information to update their inventory system. The company wants to analyze this data in the hopes of being ahead of demand and properly managing logistics and delivery of in-demand items.
Which AWS service can be used to capture this data as close to real-time as possible, while being able to both transform and load the streaming data into Amazon S3 or ElasticSearch?
A: Kinesis Data Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling near-real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully-managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, transform, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.
You work for an advertising company that has a real-time bidding application. You are also using CloudFront on the front end to accommodate a worldwide user base. Your users begin complaining about response times and pauses in real-time bidding. What is the best service that can be used to reduce DynamoDB response times by an order of magnitude (milliseconds to microseconds)?
DAX
Correct. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache that can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. While DynamoDB offers consistent single-digit millisecond latency, DynamoDB with DAX takes performance to the next level with response times in microseconds for millions of requests per second for read-heavy workloads. With DAX, your applications remain fast and responsive, even when a popular event or news story drives unprecedented request volumes your way. No tuning required.
A travel company has deployed a website which serves travel updates to users all over the world. The traffic this database serves is very read heavy and can have some latency issues at certain times of the year. What can you do to alleviate these latency issues?
Add read replicas
Amazon RDS Read Replicas provide enhanced performance and durability for RDS database (DB) instances. They can be within an Availability Zone, Cross-AZ, or Cross-Region, and make it easy to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances. Read replicas are available in Amazon RDS for MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server as well as Amazon Aurora.
A software company is developing an online “learn a new language” application. The application will be designed to teach up to 20 different languages for native English and Spanish speakers. It should leverage a service that is capable to keep up with 24,000 read units per second and 3,300 write units per second, and scale for spikes and off-peak. The application will also need to store user progress data. Which AWS service would meet these requirements?
DynamoDB
Correct. Duolingo uses Amazon DynamoDB to store 31 billion items in support of an online learning site that delivers lessons for 80 languages. The U.S. startup reaches more than 18 million monthly users around the world who perform more than six billion exercises using the free Duolingo lessons. The company relies heavily on Amazon DynamoDB not just for its highly scalable database, but also for high performance that reaches 24,000 read units per second and 3,300 write units per second. In addition, Duolingo uses a range of other AWS services such as Amazon EC2, based on the latest Intel Xeon Processor Family, for compute Amazon ElastiCache to increase performance; Amazon S3 for storing image-related data; and Amazon Relational Database Service (Amazon RDS) for permanent data storage. Moving forward, Duolingo plans on leveraging AWS Elastic Beanstalk and AWS Lambda for its microservices architecture, as well as Amazon Redshift for its data analytics.
Your team has provisioned an Auto Scaling Groups in a single Region. The Auto Scaling Group at max capacity would total 40 EC2 instances between them. However, you notice that the Auto Scaling Groups will only scale out to a portion of that number of instances at any one time. What could be the problem?
There is a vCPU-based on-demand instance limit per region.
Correct. Your AWS account has default quotas, formerly referred to as limits, for each AWS service. Unless otherwise noted, each quota is Region-specific. You can request increases for some quotas, and other quotas cannot be increased. Remember that each EC2 instance can have a variance of the number of vCPUs, depending on its type and your configuration, so it’s always wise to calculate your vCPU needs to make sure you are not going to hit quotas easily. Service Quotas is an AWS service that helps you manage your quotas for over 100 AWS services from one location. Along with looking up the quota values, you can also request a quota increase from the Service Quotas console.
You work for an oil and gas company as a lead in data analytics. The company is using IoT devices to better understand their assets in the field (for example, pumps, generators, valve assemblies, and so on). Your task is to monitor the IoT devices in real-time to provide valuable insight that can help you maintain the reliability, availability, and performance of your IoT devices. What tool can you use to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks?
Kinesis Data Analytics
Monitoring IoT devices in real-time can provide valuable insight that can help you maintain the reliability, availability, and performance of your IoT devices. You can track time series data on device connectivity and activity. This insight can help you react quickly to changing conditions and emerging situations. Amazon Web Services (AWS) offers a comprehensive set of powerful, flexible, and simple-to-use services that enable you to extract insights and actionable information in real time. Amazon Kinesis is a platform for streaming data on AWS, offering key capabilities to cost-effectively process streaming data at any scale. Kinesis capabilities include Amazon Kinesis Data Analytics, the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks.
A popular social media website uses a CloudFront web distribution to serve their static contents to their millions of users around the globe. They are receiving a number of complaints recently that their users take a lot of time to log into their website. There are also occasions when their users are getting HTTP 504 errors. You are instructed by your manager to significantly reduce the user’s login time to further optimize the system.
Which of the following options should you use together to set up a cost-effective solution that can improve your application’s performance? (Select TWO.)
- Customize the content that the CloudFront web distribution delivers to your users using Lambda@Edge, which allows your Lambda functions to execute the authentication process in AWS locations closer to the users.
- Set up an origin failover by creating an origin group with two origins. Specify one as the primary origin and the other as the second origin which CloudFront automatically switches to when the primary origin returns specific HTTP status code failure responses.
The company that you are working for has a highly available architecture consisting of an elastic load balancer and several EC2 instances configured with auto-scaling in three Availability Zones. You want to monitor your EC2 instances based on a particular metric, which is not readily available in CloudWatch.
Which of the following is a custom metric in CloudWatch which you have to manually set up?
- Memory utilization of an EC2 instance
A popular social network is hosted in AWS and is using a DynamoDB table as its database. There is a requirement to implement a ‘follow’ feature where users can subscribe to certain updates made by a particular user and be notified via email. Which of the following is the most suitable solution that you should implement to meet the requirement?
Enable DynamoDB Stream and create an AWS Lambda trigger, as well as the IAM role which contains all of the permissions that the Lambda function will need at runtime. The data from the stream record will be processed by the Lambda function which will then publish a message to SNS Topic that will notify the subscribers via email.
An organization needs to provision a new Amazon EC2 instance with a persistent block storage volume to migrate data from its on-premises network to AWS. The required maximum performance for the storage volume is 64,000 IOPS.
In this scenario, which of the following can be used to fulfill this requirement?
Launch a Nitro-based EC2 instance and attach a Provisioned IOPS SSD EBS volume (io1) with 64,000 IOPS.
A Docker application, which is running on an Amazon ECS cluster behind a load balancer, is heavily using DynamoDB. You are instructed to improve the database performance by distributing the workload evenly and using the provisioned throughput efficiently.
Which of the following would you consider to implement for your DynamoDB table?
partition keys with high-cardinality attributes, which have a large number of distinct values for each item.
A content management system (CMS) is hosted on a fleet of auto-scaled, On-Demand EC2 instances that use Amazon Aurora as its database. Currently, the system stores the file documents that the users upload in one of the attached EBS Volumes. Your manager noticed that the system performance is quite slow and he has instructed you to improve the architecture of the system.
In this scenario, what will you do to implement a scalable, high-available POSIX-compliant shared file system?
Use EFS
A popular mobile game uses CloudFront, Lambda, and DynamoDB for its backend services. The player data is persisted on a DynamoDB table and the static assets are distributed by CloudFront. However, there are a lot of complaints that saving and retrieving player information is taking a lot of time.
To improve the game’s performance, which AWS service can you use to reduce DynamoDB response times from milliseconds to microseconds?
Amazon DynamoDB Accelerator (DAX)
A global IT company with offices around the world has multiple AWS accounts. To improve efficiency and drive costs down, the Chief Information Officer (CIO) wants to set up a solution that centrally manages their AWS resources. This will allow them to procure AWS resources centrally and share resources such as AWS Transit Gateways, AWS License Manager configurations, or Amazon Route 53 Resolver rules across their various accounts.
As the Solutions Architect, which combination of options should you implement in this scenario? (Select TWO.)
- Consolidate all of the company’s accounts using AWS Organizations.
- Use the AWS Resource Access Manager (RAM) service to easily and securely share your resources with your AWS accounts.
A car dealership website hosted in Amazon EC2 stores car listings in an Amazon Aurora database managed by Amazon RDS. Once a vehicle has been sold, its data must be removed from the current listings and forwarded to a distributed processing system.
Which of the following options can satisfy the given requirement?
Create a native function or a stored procedure that invokes a Lambda function. Configure the Lambda function to send event notifications to an Amazon SQS queue for the processing system to consume.
An AI-powered Forex trading application consumes thousands of data sets to train its machine learning model. The application’s workload requires a high-performance, parallel hot storage to process the training datasets concurrently. It also needs cost-effective cold storage to archive those datasets that yield low profit.
Which of the following Amazon storage services should the developer use?
Use Amazon FSx For Lustre and Amazon S3 for hot and cold storage respectively.
A company plans to build a data analytics application in AWS which will be deployed in an Auto Scaling group of On-Demand EC2 instances and a MongoDB database. It is expected that the database will have high-throughput workloads performing small, random I/O operations. As the Solutions Architect, you are required to properly set up and launch the required resources in AWS.
Which of the following is the most suitable EBS type to use for your database?
Provisioned IOPS SSD (io1)
A company has developed public APIs hosted in Amazon EC2 instances behind an Elastic Load Balancer. The APIs will be used by various clients from their respective on-premises data centers. A Solutions Architect received a report that the web service clients can only access trusted IP addresses whitelisted on their firewalls.
What should you do to accomplish the above requirement?
Associate an Elastic IP address to a Network Load Balancer.
A company launched a website that accepts high-quality photos and turns them into a downloadable video montage. The website offers a free and a premium account that guarantees faster processing. All requests by both free and premium members go through a single SQS queue and then processed by a group of EC2 instances that generate the videos. The company needs to ensure that the premium users who paid for the service have higher priority than the free members.
How should the company re-design its architecture to address this requirement?
Create an SQS queue for free members and another one for premium members. Configure your EC2 instances to consume messages from the premium queue first and if it is empty, poll from the free members’ SQS queue.
A company plans to migrate its suite of containerized applications running on-premises to a container service in AWS. The solution must be cloud-agnostic and use an open-source platform that can automatically manage containerized workloads and services. It should also use the same configuration and tools across various production environments.
What should the Solution Architect do to properly migrate and satisfy the given requirement?
Migrate the application to Amazon Elastic Kubernetes Service with EKS worker nodes.
A software company has resources hosted in AWS and on-premises servers. You have been requested to create a decoupled architecture for applications which make use of both resources.
Which of the following options are valid? (Select TWO.)
Amazon Simple Queue Service (SQS) and Amazon Simple Workflow Service (SWF)
A company currently has an Augment Reality (AR) mobile game that has a serverless backend. It is using a DynamoDB table which was launched using the AWS CLI to store all the user data and information gathered from the players and a Lambda function to pull the data from DynamoDB. The game is being used by millions of users each day to read and store data.
How would you design the application to improve its overall performance and make it more scalable while keeping the costs low? (Select TWO.)
- Enable DynamoDB Accelerator (DAX) and ensure that the Auto Scaling is enabled and increase the maximum provisioned read and write capacity.
- Use API Gateway in conjunction with Lambda and turn on the caching on frequently accessed data and enable DynamoDB global replication.
An on-premises server is using an SMB network file share to store application data. The application produces around 50 MB of data per day but it only needs to access some of it for daily processes. To save on storage costs, the company plans to copy all the application data to AWS, however, they want to retain the ability to retrieve data with the same low-latency access as the local file share. The company does not have the capacity to develop the needed tool for this operation.
Which AWS service should the company use?
AWS Storage Gateway.
A media company recently launched their newly created web application. Many users tried to visit the website, but they are receiving a 503 Service Unavailable Error. The system administrator tracked the EC2 instance status and saw the capacity is reaching its maximum limit and unable to process all the requests. To gain insights from the application’s data, they need to launch a real-time analytics service.
Which of the following allows you to read records in batches?
Create a Kinesis Data Stream and use AWS Lambda to read records from the data stream.
Data firehose cant point at Lambda
A Solutions Architect working for a startup is designing a High Performance Computing (HPC) application which is publicly accessible for their customers. The startup founders want to mitigate distributed denial-of-service (DDoS) attacks on their application.
Which of the following options are NOT suitable to be implemented in this scenario? (Select TWO.)
Using Dedicated EC2 instances to ensure that each instance has the maximum performance possible
Adding multiple Elastic Fabric Adapters (EFA) to each EC2 instance to increase the network bandwidth
A new online banking platform has been re-designed to have a microservices architecture in which complex applications are decomposed into smaller, independent services. The new platform is using Docker considering that application containers are optimal for running small, decoupled services. The new solution should remove the need to provision and manage servers, let you specify and pay for resources per application, and improve security through application isolation by design.
Which of the following is the MOST suitable service to use to migrate this new platform to AWS?
AWS Fargate
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS).
An online trading platform with thousands of clients across the globe is hosted in AWS. To reduce latency, you have to direct user traffic to the nearest application endpoint to the client. The traffic should be routed to the closest edge location via an Anycast static IP address. AWS Shield should also be integrated into the solution for DDoS protection.
Which of the following is the MOST suitable service that the Solutions Architect should use to satisfy the above requirements?
AWS Global Accelerator
uses the AWS global network to optimize the path from your users to your applications, improving the performance of your TCP and UDP traffic. AWS Global Accelerator continually monitors the health of your application endpoints and will detect an unhealthy endpoint and redirect traffic to healthy endpoints in less than 1 minute.
A company plans to migrate a NoSQL database to an EC2 instance. The database is configured to replicate the data automatically to keep multiple copies of data for redundancy. The Solutions Architect needs to launch an instance that has a high IOPS and sequential read/write access.
Which of the following options fulfills the requirement if I/O throughput is the highest priority?
Use Storage optimized instances with instance store volume.
high disk throughput
A financial company instructed you to automate the recurring tasks in your department such as patch management, infrastructure selection, and data synchronization to improve their current processes. You need to have a service which can coordinate multiple AWS services into serverless workflows.
Which of the following is the most cost-effective service to use in this scenario?
AWS Step Functions
provides serverless orchestration for modern applications.
A company is using an Auto Scaling group which is configured to launch new t2.micro EC2 instances when there is a significant load increase in the application. To cope with the demand, you now need to replace those instances with a larger t2.2xlarge instance type.
How would you implement this change?
Create a new launch configuration with the new instance type and update the Auto Scaling Group.
You can only specify one launch configuration for an Auto Scaling group at a time, and you can’t modify a launch configuration after you’ve created it. Therefore, if you want to change the launch configuration for an Auto Scaling group, you must create a launch configuration and then update your Auto Scaling group with the new launch configuration.
A company has a web-based order processing system that is currently using a standard queue in Amazon SQS. The IT Manager noticed that there are a lot of cases where an order was processed twice. This issue has caused a lot of trouble in processing and made the customers very unhappy. The manager has asked you to ensure that this issue will not recur.
What can you do to prevent this from happening again in the future? (Select TWO.)
- Replace Amazon SQS and instead, use Amazon Simple Workflow service.
- Use an Amazon SQS FIFO Queue instead.
A company has an OLTP (Online Transactional Processing) application that is hosted in an Amazon ECS cluster using the Fargate launch type. It has an Amazon RDS database that stores data of its production website. The Data Analytics team needs to run queries against the database to track and audit all user transactions. These query operations against the production database must not impact application performance in any way.
Which of the following is the MOST suitable and cost-effective solution that you should implement?
Set up a new Amazon RDS Read Replica of the production database. Direct the Data Analytics team to query the production data from the replica.
The company you are working for has a set of AWS resources hosted in ap-northeast-1 region. You have been asked by your IT Manager to create an AWS CLI shell script that will call an AWS service which could create duplicate resources in another region in the event that ap-northeast-1 region fails. The duplicated resources should also contain the VPC Peering configuration and other networking components from the primary stack.
Which of the following AWS services could help fulfill this task?
AWS CloudFormation
a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS.
A company plans to develop a custom messaging service that will also be used to train their AI for an automatic response feature which they plan to implement in the future. Based on their research and tests, the service can receive up to thousands of messages a day, and all of these data are to be sent to Amazon EMR for further processing. It is crucial that none of the messages are lost, no duplicates are produced, and that they are processed in EMR in the same order as their arrival.
Which of the following options can satisfy the given requirement?
Create an Amazon Kinesis Data Stream to collect the messages
wo important requirements that the chosen AWS service should fulfill is that data should not go missing, is durable, and streams data in the sequence of arrival. Kinesis can do the job just fine because of its architecture. A Kinesis data stream is a set of shards that has a sequence of data records, and each data record has a sequence number that is assigned by Kinesis Data Streams. Kinesis can also easily handle the high volume of messages being sent to the service.
The start-up company that you are working for has a batch job application that is currently hosted on an EC2 instance. It is set to process messages from a queue created in SQS with default settings. You configured the application to process the messages once a week. After 2 weeks, you noticed that not all messages are being processed by the application.
What is the root cause of this issue?
sqs has deleted the messages since theyve been in the queue longer than the retention time (default 4 days)
A company has an application hosted in an Auto Scaling group of Amazon EC2 instances across multiple Availability Zones behind an Application Load Balancer. There are several occasions where some instances are automatically terminated after failing the HTTPS health checks in the ALB and then purges all the ephemeral logs stored in the instance. A Solutions Architect must implement a solution that collects all of the application and server logs effectively. She should be able to perform a root cause analysis based on the logs, even if the Auto Scaling group immediately terminated the instance.
What is the EASIEST way for the Architect to automate the log collection from the Amazon EC2 instances?
Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Trigger the CloudWatch agent to push the application logs and then resume the instance termination once all the logs are sent to CloudWatch Logs.
An online shopping platform is hosted on an Auto Scaling group of On-Demand EC2 instances with a default Auto Scaling termination policy and no instance protection configured. The system is deployed across three Availability Zones in the US West region (us-west-1) with an Application Load Balancer in front to provide high availability and fault tolerance for the shopping platform. The us-west-1a, us-west-1b, and us-west-1c Availability Zones have 10, 8 and 7 running instances respectively. Due to the low number of incoming traffic, the scale-in operation has been triggered.
Which of the following will the Auto Scaling group do to determine which instance to terminate first in this scenario? (Select THREE.)
- closest to next billing hour
- oldest launch configuration
- AZ with the most instances
A Solutions Architect is working for a multinational telecommunications company. The IT Manager wants to consolidate their log streams including the access, application, and security logs in one single system. Once consolidated, the company will analyze these logs in real-time based on heuristics. There will be some time in the future where the company will need to validate heuristics, which requires going back to data samples extracted from the last 12 hours.
What is the best approach to meet this requirement?
first, send all of the log events to kinesis then afterwards, develop a client process to apply heuristics on the logs
A company deployed a web application that stores static assets in an Amazon Simple Storage Service (S3) bucket. The Solutions Architect expects the S3 bucket to immediately receive over 2000 PUT requests and 3500 GET requests per second at peak hour.
What should the Solutions Architect do to ensure optimal performance?
do nothing, s3 will manage at this scale (3500 put, 5500 get)
A healthcare company stores sensitive patient health records in their on-premises storage systems. These records must be kept indefinitely and protected from any type of modifications once they are stored. Compliance regulations mandate that the records must have granular access control and each data access must be audited at all levels. Currently, there are millions of obsolete records that are not accessed by their web application, and their on-premises storage is quickly running out of space. The Solutions Architect must design a solution to immediately move existing records to AWS and support the ever-growing number of new health records.
Which of the following is the most suitable solution that the Solutions Architect should implement to meet the above requirements?
Set up AWS DataSync to move the existing health records from the on-premises network to the AWS Cloud. Launch a new Amazon S3 bucket to store existing and new records. Enable AWS CloudTrail with Data Events and Amazon S3 Object Lock in the bucket.
