You manage an on-premises server named Server1 that has a database named Database1. The company purchases a new application that can access data from Azure SQL Database. You recommend a solution to migrate Database1 to an Azure SQL Database instance. What should you recommend? To answer, select the appropriate configuration in the answer area. NOTE: Each correct selection is worth one point.
What should you do to improve high availability of the real-time data processing solution?
Correct Answer: A
Guarantee Stream Analytics job reliability during service updates Part of being a fully managed service is the capability to introduce new service functionality and improvements at a rapid pace. As a result, Stream Analytics can have a service update deploy on a weekly (or more frequent) basis. No matter how much testing is done there is still a risk that an existing, running job may break due to the introduction of a bug. If you are running mission critical jobs, these risks need to be avoided. You can reduce this risk by following Azure's paired region model. Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure
Question 68
You need to ensure that security policies for the unauthorized detection system are met. What should you recommend? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation Box 1: Blob storage Configure blob storage for audit logs. Scenario: Unauthorized usage of the Planning Assistance data must be detected as quickly as possible. Unauthorized usage is determined by looking for an unusual pattern of usage. Data used for Planning Assistance must be stored in a sharded Azure SQL Database. Box 2: Web Apps SQL Advanced Threat Protection (ATP) is to be used. One of Azure's most popular service is App Service which enables customers to build and host web applications in the programming language of their choice without managing infrastructure. App Service offers auto-scaling and high availability, supports both Windows and Linux. It also supports automated deployments from GitHub, Visual Studio Team Services or any Git repository. At RSA, we announced that Azure Security Center leverages the scale of the cloud to identify attacks targeting App Service applications. References: https://azure.microsoft.com/sv-se/blog/azure-security-center-can-identify-attacks-targeting-azure-app-service-app
Question 69
You design data engineering solutions for a company. You must integrate on-premises SQL Server data into an Azure solution that performs Extract-Transform-Load (ETL) operations have the following requirements: * Develop a pipeline that can integrate data and run notebooks. * Develop notebooks to transform the data. * Load the data into a massively parallel processing database for later analysis. You need to recommend a solution. What should you recommend? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation
Question 70
You plan to ingest streaming social media data by using Azure Stream Analytics. The data will be stored in files in Azure Data Lake Storage, and then consumed by using Azure Databricks and PolyBase in Azure SQL Data Warehouse. You need to recommend a Stream Analytics data output format to ensure that the queries from Databricks and PolyBase against the files encounter the fewest possible errors. The solution must ensure that the files can be queried quickly and that the data type information is retained. What should you recommend?
Correct Answer: A
Explanation/Reference: Explanation: The Avro format is great for data and message preservation. Avro schema with its support for evolution is essential for making the data robust for streaming architectures like Kafka, and with the metadata that schema provides, you can reason on the data. Having a schema provides robustness in providing meta-data about the data stored in Avro records which are self-documenting the data. References: http://cloudurable.com/blog/avro/index.html Design for data security and compliance Testlet 1 Case study This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided. To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study. At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section. To start the case study To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question. Overview Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas. Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout. Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks. Requirements. Business Goals Litware wants to create a new analytics environment in Azure to meet the following requirements: * See inventory levels across the stores. Data must be updated as close to real time as possible. * Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products. * Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data. Requirements. Technical Requirements Litware identifies the following technical requirements: * Minimize the number of different Azure services needed to achieve the business goals * Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware. * Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services. * Use Azure Active Directory (Azure AD) authentication whenever possible. * Use the principle of least privilege when designing security. * Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed. * Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant. * Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion. Requirements. Planned Environment Litware plans to implement the following environment: * The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure. * Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table. * Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table. * Daily inventory data comes from a Microsoft SQL server located on a private network. * Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next year. * Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every four hours. * Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure.
