Questions Flashcards
Your company’s test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on-premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
Which cloud infrastructure should you recommend?
A. Google Compute Engine unmanaged instance groups and Network Load Balancer
B. Google Compute Engine managed instance groups with auto-scaling
C. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
D. Google App Engine with Google StackDriver for logging
B
Google Compute Engine managed instance groups with auto-scaling
https://cloud.google.com/compute/docs/autoscaler/
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run properly on Google Cloud Platform.
What should you do?
A. Help the engineer to convert his websocket code to use HTTP streaming
B. Review the encryption requirements for websocket connections with the security team
C. Meet with the cloud operations team and the engineer to discuss load balancer options
D. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
C
Meet with the cloud operations team and the engineer to discuss load balancer options
https://cloud.google.com/compute/docs/load-balancing/http/
A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has an SSH port open to the world. You want to discover this network’s origin.
What should you do?
A. Search for Create VM entry in the Stackdriver alerting console
B. Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VM entry
C. In the Logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry
D. Connect to the GCE instance using project SSH keys. Identify previous logins in system logs, and match these with the project owners list
C
In the Logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region.
What steps must you take?
A. Use the Linux dd and netcat commands to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
B. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
C. Create an image file from the root disk with Linux dd command, create a new virtual machine instance in the US-East region
D. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.
D
Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.
https://cloud.google.com/compute/docs/instances/create-start-instance#createsnapshot
Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance.
How should you configure the storage?
A. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
B. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
C. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.
D. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage
C.
Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.
https://cloud.google.com/storage/docs/gcs-fuse
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud
Bigtable.
Which three requirements should they include? Choose 3 answers.
A. Ensure that the load tests validate the performance of Cloud Bigtable
B. Create a separate Google Cloud project to use for the load-testing environment
C. Schedule the load-testing tool to regularly run against the production environment
D. Ensure all third-party systems your services use is capable of handling high load
E. Instrument the production services to record every transaction for replay by the load-testing tool
F. Instrument the load-testing tool and the target services with detailed logging and metrics collection
B.
Create a separate Google Cloud project to use for the load-testing environment
E.
Instrument the production services to record every transaction for replay by the load-testing tool
F.
Instrument the load-testing tool and the target services with detailed logging and metrics collection
Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all projects in the organization. You provision the Google Cloud Resource Manager and set up yourself as the org admin.
What Google Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team?
A. Org viewer, project owner
B. Org viewer, project viewer
C. Org admin, project browser
D. Project owner, network admin
B.
Org viewer, project viewer
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced.
Which two actions can you take? Choose 2 answers.
A. Ensure every code check-in is peer reviewed by a security SME
B. Use source code security analyzers as part of the CI/CD pipeline
C. Ensure you have stubs to unit test all interfaces between components
D. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline
E. Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline
B.
Use source code security analyzers as part of the CI/CD pipeline
E.
Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline
You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.
What should you do?
A. Add additional nodes to your Kubernetes Engine cluster using the following command: gcloud container clusters resize CLUSTER_Name “” -size 10
B. Add a tag to the instances in the cluster with the following command: gcloud compute instances add-tags INSTANCE - -tags enable- autoscaling max-nodes-10
C. Update the existing Kubernetes Engine cluster with the following command: gcloud alpha container clusters update mycluster - -enable- autoscaling - -min-nodes=1 - -max-nodes=10
D. Create a new Kubernetes Engine cluster with the following command: gcloud alpha container clusters create mycluster - -enable- autoscaling - -min-nodes=1 - -max-nodes=10 and redeploy your application
C.
Update the existing Kubernetes Engine cluster with the following command: gcloud alpha container clusters update mycluster - -enable- autoscaling - -min-nodes=1 - -max-nodes=10
https://cloud.google.com/sdk/gcloud/reference/alpha/container/clusters/update
Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-through per day. The link leads to a simple website that explains the promotion and collects user information and preferences.
Which infrastructure should you recommend? Choose 2 answers.
A. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
B. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
C. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
D. Use a single Compute Engine virtual machine (VM) to host a web server, backend by Google Cloud SQL.
A.
Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
C.
Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling.
Which two compute products should you choose? Choose 2 answers.
A. Compute Engine with containers
B. Google Kubernetes Engine with containers
C. Google App Engine Standard Environment
D. Compute Engine with custom instance types
E. Compute Engine with managed instance groups
B.
Google Kubernetes Engine with containers
C.
Google App Engine Standard Environment
Kubernetes Engine’s cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with
NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99s-NoOps-claim
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data.
How can you design your logging system to verify authenticity of your logs?
A. Write the log concurrently in the cloud and on premises
B. Use a SQL database and limit who can modify the log table
C. Digitally sign each timestamp and log entry and store the signature
D. Create a JSON dump of each log entry and store it in Google Cloud Storage
D
Digitally sign each timestamp and log entry and store the signature
Write a log entry. If the log does not exist, it is created. You can specify a severity for the log entry, and you can write a structured log entry by specifying – payload-type=json and writing your message as a JSON string: gcloud logging write LOG STRING gcloud logging write LOG JSON-STRING –payload-type=json
References:
https://cloud.google.com/logging/docs/reference/tools/gcloud-logging
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs.
What should they do?
A. Configure a new load balancer for the new version of the API
B. Reconfigure old clients to use a new endpoint for the new API
C. Have the old API forward traffic to the new API based on the path
D. Use separate backend pools for each API path behind the load balancer
D.
Use separate backend pools for each API path behind the load balancer
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?
A. Load data into Google BigQuery
B. Insert data into Google Cloud SQL
C. Put flat files into Google Cloud Storage
D. Stream data into Google Cloud Datastore
A.
Load data into Google BigQuery
BigQuery is Google’s serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don’t need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References:
https://cloud.google.com/bigquery/
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud.
Which three practices should you recommend? Choose 3 answers.
A. Port the application code to run on Google App Engine
B. Integrate Cloud Dataflow into the application to capture real-time metrics
C. Instrument the application with a monitoring tool like Stackdriver Debugger
D. Select an automation framework to reliably provision the cloud infrastructure
E. Deploy a continuous integration tool with automated testing in a staging environment
F. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable
A.
Port the application code to run on Google App Engine
D.
Select an automation framework to reliably provision the cloud infrastructure
E.
Deploy a continuous integration tool with automated testing in a staging environment
References:
https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs.
What should you do?
A. Direct them to download and install the Google StackDriver logging agent
B. Send them a list of online resources about logging best practices
C. Help them define their requirements and assess viable logging tools
D. Help them upgrade their current tool to take advantage of any new features
Correct Answer: A
The Stackdriver Logging agent streams logs from your VM instances and from selected third party software packages to Stackdriver Logging. Using the agent is optional but we recommend it. The agent runs under both Linux and Microsoft Windows.
Note: Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services
(AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References:
https://cloud.google.com/logging/docs/agent/installation
https://medium.com/google-cloud/hidden-super-powers-of-stackdriver-logging-ca110dae7e74
You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company’s web hosting platform. Improvement to the QA/
Test processes accomplished an 80% reduction.
Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers.
A. Introduce a green-blue deployment model
B. Replace the QA environment with canary releases
C. Fragment the monolithic platform into microservices
D. Reduce the platform’s dependency on relational database systems
E. Replace the platform’s relational database systems with a NoSQL database
A.
Introduce a green-blue deployment model
C.
Fragment the monolithic platform into microservices
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines
(VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? Choose 2 answers.
A. Use the - -no-auto-delete flag on all persistent disks and stop the VM
B. Use the - -auto-delete flag on all persistent disks and terminate the VM
C. Apply VM CPU utilization label and include it in the BigQuery billing export
D. Use Google BigQuery billing export and labels to associate cost to groups
E. Store all state into local SSD, snapshot the persistent disks, and terminate the VM
F. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
A.
Use the - -no-auto-delete flag on all persistent disks and stop the VM
D.
Use Google BigQuery billing export and labels to associate cost to groups
References:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery https://cloud.google.com/compute/docs/instances/stopping-or-deleting-an-instance
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations.
Which database type should you use?
A. Flat file
B. NoSQL
C. Relational
D. Blobstore
B.
NoSQL
References:
https://www.mongodb.com/nosql-explained
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address.
You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly.
What should you do?
A. Ensure that a firewall rules exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
B. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
C. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
D. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
C.
Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
References:
https://cloud.google.com/compute/docs/load-balancing/http/backend-service
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to
BigQuery.
What should you do to fix the script?
A. Install the latest BigQuery API client library for Python
B. Run your script on a new virtual machine with the BigQuery access scope enabled
C. Create a new service account with BigQuery access and execute your script with that user
D. Install the bq component for gcloud with the command gcloud components install bq.
C.
Create a new service account with BigQuery access and execute your script with that user
References:
https: //cloud.google.com/bigquery/docs/authorization
https: //cloud.google.com/bigquery/create-simple-app-api
Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords.
What authentication strategy should they use?
A. Use G Suite Password Sync to replicate passwords into Google
B. Federate authentication via SAML 2.0 to the existing Identity Provider
C. Provision users in Google using the Google Cloud Directory Sync tool
D. Ask users to set their Google password to match their corporate password
C.
Provision users in Google using the Google Cloud Directory Sync tool
References:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#authentication-and-identity
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live- processing some data as it comes in.
Which technology should they use for this?
A. Google Cloud Dataproc
B. Google Cloud Dataflow
C. Google Container Engine with Bigtable
D. Google Compute Engine with Google BigQuery
B.
Google Cloud Dataflow
References:
https://cloud.google.com/dataflow/
Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users.
This behavior was not reported before the update.
What strategy should you take?
A. Work with your ISP to diagnose the problem
B. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
C. Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
D. Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem
C.
Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
References:
https://cloud.google.com/logging/