(AZ-900 topic) Describe core solutions and management tools on Azure Flashcards
AZ-900 topic assess your ability to: Talk about the core solutions in Azure, and Azure's management tools Questions for this domain comprise 13% of the total questions for the AZ-900.
Which Azure DevOps tool would you use to share applications and code libraries?
- Azure Repos
- Azure Pipelines
- Azure Artifacts
- Azure Test Plans
- Azure Boads
-Azure Artifacts
Azure Artifacts is a service in Azure DevOps, which can host code libraries and applications for you to share internally or externally. Azure Boards is for project managers. Azure Repos holds your source code. Azure Test Plans is used to create manual and automatic test scenarios for your application. Azure Pipelines is the process that builds and deploys your application.
What kind of service architecture is Azure DevOps?
- Serverless
- PaaS
- Saas
- Iaas
- On-premises
-Saas
Azure DevOps is a Software as a Service offering.
What is the purpose of a model in AI and Machine Learning?
To define what you want your machine learning implementation to learn.
A machine learning model defines the parameters for what you want to learn from the data provided. The model will learn from the data based on these parameters.
You have a need to create a new IoT solution quickly with minimal setup and development time. Which Azure product or solution can best help with these requirements?
- Azure IoT Hub provides a managed and secure backend for millions of IoT devices.
- A combination of Azure Edge for IoT combined with a CDN and Cosmos DB will meet the requirements.
- Azure IoT Central is a Software-as-a-Service solution that can help ease the costs and effort of developing a whole IoT solution from scratch.
- Azure Event Grid is perfect for connecting millions of devices with a backend.
-Azure IoT Central is a Software-as-a-Service solution that can help ease the costs and effort of developing a whole IoT solution from scratch.
Azure IoT Central is a fully managed SaaS solution that provides all parts of your IoT solution. You only have to manage dashboards and data connections. No code is needed.
Which Azure offering refers to a set of development, testing, and automation tools?
- GitHub
- Azure DevOps
- Azure Cognitive Services
- Azure Boards
Azure DevOps
Azure DevOps Services provides development collaboration tools, including high-performance pipelines, free private Git repositories, configurable Kanban boards, and extensive automated and continuous testing capabilities.
What are some of the main aims of collecting and processing Big Data? (choose 3)
- Finding new algorithms to make the data commercial and derive value from it.
- Speed and efficiency of analytics.
- Compliance with the current data usage regulations.
- Faster and better decision making.
- More robust use of the data.
- Cost reduction of data storage.
Speed and efficiency of analytics.
Faster and better decision making.
Cost reduction of data storage.
Big Data is a technology that enables speed and efficiency when analyzing the data, cost reduction for storing the enormous amounts of data, and faster and better decision making for companies based on the data and analysis of it.
What types of data does Azure Monitor collect? (choose 2)
- Only metrics
- Metrics and activity logs
- Only activity logs
- Physical Hardware data
- Subscription monitoring data
Metrics and activity logs
Subscription monitoring data
Azure Monitor collects two broad types of data: metrics and logs. Within these data types sits subscription monitoring data. Physical hardware data is not collected by Azure Monitor.
Your company wants to use Azure to manage all of their IoT devices. They are going to create the infrastructure themselves, but need a backend in Azure to manage the flow of data, and to ensure security as well as ease of deployment of new devices. Which Azure product or solution would be suitable?
- Azure IoT Hub provides a managed and secure backend for millions of IoT devices.
- Azure Event Grid is perfect for connecting millions of devices with a backend.
- A combination of Azure Edge for IoT combined with a CDN and Cosmos DB will meet the requirements.
- Azure IoT Central is the perfect SaaS solution for this scenario.
Azure IoT Hub provides a managed and secure backend for millions of IoT devices.
Azure IoT Hub is a solution for providing managed services for large IoT projects. It provides secure and reliable communication from devices to the Azure backend. Azure IoT Central is a SaaS solution that provides both managed connections and security as well as the dashboards and applications to use the data. Event Grid is used to connect many Azure services.
Which of the following recommendations is provided by Azure Advisor?
- Azure App Service security
- Azure resource costs
- Azure virtual machine IP configuration
- Storage performance and reliability
Azure App Service security
Azure resource costs
Storage performance and reliability
Azure Advisor integrates with Azure Security Center to provide recommendations and detect vulnerabilities. Azure Advisor does not make technical recommendations that do not apply to performance, cost, or security.
A key recommendation of Azure Advisor is cost, which allows you to see how your resources are performing and provide recommendations on how to reduce the cost of underutilized systems.
Advisor identifies virtual machines with standard disks that have a high volume of transactions on your storage account and recommends upgrading to premium disks.
You have designed a specific infrastructure in Azure with many virutal machines and virtual networks. you need to create the same configuration for the remaining three environments in the company. You have to be sure that your deployments are consistent.
What will you choose to accomplish this?
- Desired State Configuration
- Azure Resource Manager (ARM) templates
- Chef
- Custom scripts
- Azure Resource Manager (ARM) templates
You would choose ARM templates. With ARM templates and their JSON templates, you can make sure that your deployments are consistent.
You would not choose the Desired State Configuration because it helps you define a state for your machines instead of writing detailed manual instructions on how to achieve that state for each machine.
You would not choose custom scripts because those are used for post-deployment configuration, software installation, or any other configuration or management task.
You would not choose Chef because it is a tool for delivering automation and desired state configurations.
You are frustrated with the existing source control because recently you started to have large files. You are trying to find somewhere to keep the code and the large files and still have all the benefits of versioning.
Which of the following should you choose?
- GitHub
- Git
- Artifacts
- Git LFS
Git LFS
You would choose Git LFS. With large files, Git Large File Storage (LFS) allows you to separate large files out of your repositories and still have all the benefits of versioning and comparisons.
You would not choose Git because Git works best with repositories that are small and do not contain large files (or binaries).
You would not choose GitHub because GitHub is a cloud service for hosting Git repositories and is free for open-source projects.
You would not choose Artifacts because it is a repository for packages within the organization and is used as a package feed.
Metroil Corporation has moved its data from an on-premises datacenter to Azure, including Azure Blob Storage and an Azure Data Lake Store. They took advantage of Azure SQL Managed Instance to migrate their databases to the cloud. They will develop cloud-based applications that consume this data.
Which of the following products and technologies offer machine learning features that might be usable by Metroil? (Choose all that apply.)
- Azure Machine Learning Service
- Azure SQL Managed Instance Machine Learning Services
- SQL Server Machine Learning Services
- Azure Time Series Insights
- Azure Cognitive Services
- Azure Machine Learning Service
- Azure SQL Managed Instance Machine Learning Services
- Azure Cognitive Services
Azure SQL Managed Instance Machine Learning Services provides in-database machine learning. It allows the running of Python and R scripts. You can use it to prepare and clean data or deploy machine learning models within a database.
Azure Cognitive Services might be of use to Metroil. The service has pre-built API’s that allow building intelligent applications quickly. The services allow apps to see, hear, and understand user needs with just a few lines of code.
Azure Machine Learning is a complete data science platform that may be useful to Metroil. It allows for building machine learning solutions using Python and other open-source tooling. For those developers who are new to machine learning, the Azure Machine Learning Studio is a no-coding-required learning and solution platform.
Azure Time Series Insights is not a machine learning product. The Azure Time Series Insights explorer is a data and trend visualization tool. It can be connected to Power BI to create dashboards.
SQL Server Machine Learning Services do not meet Metroil’s needs. While SQL Server Machine Learning Services are almost identical to Azure SQL Managed Instance Machine Learning Services, it is an on-premises option. Metroil’s data is in the cloud.
As an Azure DevOps administrator, you need to help the company integrate its GitHub source code with Azure Pipelines. Which of the following should you recommend? (Choose all that apply.)
- Build the pipeline in GitHub.
- Install Azure Pipelines from GitHub Marketplace.
- Build the pipeline only in a new Azure DevOps project.
- The code must be migrated to Azure DevOps Repo.
- Build the pipeline in a new or existing Azure DevOps project.
- Install Azure Pipelines from GitHub Marketplace.
- Build the pipeline in a new or existing Azure DevOps project.
You should choose to install Azure Pipelines from GitHub Marketplace because this extension makes it easier to configure CI/CD pipelines for repositories in GitHub.
You would choose to build the pipeline in a new or existing Azure DevOps project. It is up to you whether you will create a new project or build the pipeline in another existing project.
You would not choose to build the pipeline in GitHub because, for the build pipeline, you must log in to Azure DevOps and configure it there.
You do not have to build the pipeline only in a new Azure DevOps project. You can build the pipeline in an existing Azure DevOps project.
You would not choose that the code must be migrated to Azure DevOps Repo because Azure DevOps can be integrated with GitHub and many other source controls, and it is up to you where the code will reside.
The Nutex Corporation wants to automate the business processes and workflows needed to manage the integration between apps, data, systems, and services on Azure.
Which of the following statements about Azure Logic Apps are TRUE? (Select all that apply.)
- An SLA supports all types of Azure Logic Apps integration accounts.
- A gateway installation cannot be linked to multiple Azure accounts or Azure gateway resources.
- Azure Logic Apps meters all successful and unsuccessful actions as executions.
- Trigger consistency is the highest number of logic app instances that can wait to run when a logic app is already running the maximum concurrent instances.
- A gateway installation cannot be linked to multiple Azure accounts or Azure gateway resources.
- Azure Logic Apps meters all successful and unsuccessful actions as executions.
Azure Logic Apps measures “built-in” actions as native actions. These built-in actions include calls from Azure Functions or API Management, HTTP calls, and control flow steps such as conditions, loops, and switch statements. Each action contains an action type, for example actions that call connectors have the “ApiConnection” type. These connectors are metered based on their Standard or Enterprise connector pricing levels.
Logic Apps does not meter actions that get skipped due to unmet conditions and actions that do not run because the logic app stopped before finishing
Before connecting to on-premises data sources from Azure Logic Apps, customers must download and install the on-premises data gateway on to a local computer. The gateway works as a bridge that provides quick data transfer and encryption between on-premises data sources and the logic apps. You can use the same gateway installation with other cloud services, such as Power BI, Power Automate, Power Apps, and Azure Analysis Services
Only one gateway installation can be linked to an Azure gateway resource.
Trigger concurrency describes the highest number of logic app instances that can run at the same time or in parallel. The value is set to Unlimited when the concurrency control is turned off. The default value is 25, and the range is 1 to 50. This term does not describe the highest number of logic app instances that can wait to run when a logic app is already running the maximum concurrent instances
An SLA does not support all types of Azure Logic Apps integration accounts. Free, Basic, and Standard integration accounts are available for the Logic Apps service. The Logic Apps service-level agreement (SLA) supports the Basic and Standard tiers, but not the Free tier. You can have more than one integration account in each Azure region, except for Free tier integration accounts.
Which of the following is true regarding HDInsight?
- It is a managed relational cloud database service.
- It can run massively parallel data transformation and processing programs across petabytes of data.
- It is an open-source framework for the distributed processing and analysis of big datasets in clusters.
- It is a cloud-based service that is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.
It is an open-source framework for the distributed processing and analysis of big datasets in clusters.
Azure HDInsight is an open-source framework for the distributed processing and analysis of big datasets in clusters. HDInsight makes it easy, fast, and cost-effective to process massive amounts of data.
