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    Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q256-Q261):

    NEW QUESTION # 256
    You need to recommend a configuration for ManufacturingSQLDb1 after the migration to Azure. The solution must meet the business requirements.
    What should you include in the recommendation? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    Answer:

    Explanation:

    Reference:
    https://technet.microsoft.com/windows-server-docs/failover-clustering/deploy-cloud-witness
    https://azure.microsoft.com/en-us/support/legal/sla/load-balancer/v1_0/


    NEW QUESTION # 257
    You need to implement a solution to notify the administrators. The solution must meet the monitoring requirements.
    What should you do?

    • A. Add a diagnostic setting that logs Timeouts and streams to an Azure event hub.
    • B. Add a diagnostic setting that logs QueryStoreRuntimeStatistics and streams to an Azure event hub.
    • C. Create an Azure Monitor alert rule that has a dynamic threshold and assign the alert rule to an action group.
    • D. Create an Azure Monitor alert rule that has a static threshold and assign the alert rule to an action group.

    Answer: C

    Explanation:
    Reference:
    https://azure.microsoft.com/en-gb/blog/announcing-azure-monitor-aiops-alerts-with-dynamic-thresholds/ 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.
    Topic 3, ADatum Corporation
    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
    ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
    Existing Environment
    ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
    SALESDB collects data from the stores and the website.
    DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
    REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
    Requirements
    Planned Changes
    ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
    Migrate SALESDB and REPORTINGDB to an Azure SQL database.
    Migrate DOCDB to Azure Cosmos DB.
    The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
    As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
    Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
    Technical Requirements
    The new Azure data infrastructure must meet the following technical requirements:
    Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
    SALESDB must be restorable to any given minute within the past three weeks.
    Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
    Missing indexes must be created automatically for REPORTINGDB.
    Disk IO, CPU, and memory usage must be monitored for SALESDB.


    NEW QUESTION # 258
    HOTSPOT
    You have an Azure SQL database named db1.
    You need to retrieve the resource usage of db1 from the last week.
    How should you complete the statement? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.
    Hot Area:

    Answer:

    Explanation:

    Explanation:
    Box 1: sys.resource_stats
    sys.resource_stats returns CPU usage and storage data for an Azure SQL Database. It has database_name and start_time columns.
    Box 2: DateAdd
    The following example returns all databases that are averaging at least 80% of compute utilization over the last one week.
    DECLARE @s datetime;
    DECLARE @e datetime;
    SET @s= DateAdd(d,-7,GetUTCDate());
    SET @e= GETUTCDATE();
    SELECT database_name, AVG(avg_cpu_percent) AS Average_Compute_Utilization FROM sys.resource_stats WHERE start_time BETWEEN @s AND @e GROUP BY database_name HAVING AVG(avg_cpu_percent) >= 80 Incorrect Answers:
    sys.dm_exec_requests:
    sys.dm_exec_requests returns information about each request that is executing in SQL Server. It does not have a column named database_name.
    sys.dm_db_resource_stats:
    sys.dm_db_resource_stats does not have any start_time column.
    Note: sys.dm_db_resource_stats returns CPU, I/O, and memory consumption for an Azure SQL Database database. One row exists for every 15 seconds, even if there is no activity in the database. Historical data is maintained for approximately one hour.
    Sys.dm_user_db_resource_governance returns actual configuration and capacity settings used by resource governance mechanisms in the current database or elastic pool. It does not have any start_time column.
    Reference:
    https://docs.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-resource-stats-azure-sql- database Optimize Query Performance Testlet 1 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.
    Existing Environment
    Network Environment
    The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
    The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering.
    The private peering connects to an Azure virtual network named HubVNet.
    Identity Environment
    Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com.
    All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
    Database Environment
    The sales department has the following database workload:
    * An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
    * A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1.
    SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
    * An application named SalesSQLDb1App1 uses SalesSQLDb1.
    The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
    Licensing Agreement
    Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
    Current Problems
    SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
    Requirements
    Planned Changes
    Litware plans to implement the following changes:
    * Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
    * Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.
    ResearchDB1 will contain Personally Identifiable Information (PII) data.
    * Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
    * Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
    * Migrate the SERVER1 databases to the Azure SQL Database platform.
    Technical Requirements
    Litware identifies the following technical requirements:
    * Maintenance tasks must be automated.
    * The 30 new databases must scale automatically.
    * The use of an on-premises infrastructure must be minimized.
    * Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
    * All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
    Security and Compliance Requirements
    Litware identifies the following security and compliance requirements:
    * Store encryption keys in Azure Key Vault.
    * Retain backups of the PII data for two months.
    * Encrypt the PII data at rest, in transit, and in use.
    * Use the principle of least privilege whenever possible.
    * Authenticate database users by using Active Directory credentials.
    * Protect Azure SQL Database instances by using database-level firewall rules.
    * Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
    Business Requirements
    Litware identifies the following business requirements:
    * Meet an SLA of 99.99% availability for all Azure deployments.
    * Minimize downtime during the migration of the SERVER1 databases.
    * Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
    * Once all requirements are met, minimize costs whenever possible.


    NEW QUESTION # 259
    Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
    After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
    You have an Azure SQL database named Sales.
    You need to implement disaster recovery for Sales to meet the following requirements:
    * During normal operations, provide at least two readable copies of Sales.
    * Ensure that Sales remains available if a datacenter fails.
    Solution: You deploy an Azure SQL database that uses the General Purpose service tier and failover groups.
    Does this meet the goal?

    • A. No
    • B. Yes

    Answer: A

    Explanation:
    Explanation
    Instead deploy an Azure SQL database that uses the Business Critical service tier and Availability Zones.
    Note: Premium and Business Critical service tiers leverage the Premium availability model, which integrates compute resources (sqlservr.exe process) and storage (locally attached SSD) on a single node. High availability is achieved by replicating both compute and storage to additional nodes creating a three to four-node cluster.
    By default, the cluster of nodes for the premium availability model is created in the same datacenter. With the introduction of Azure Availability Zones, SQL Database can place different replicas of the Business Critical database to different availability zones in the same region. To eliminate a single point of failure, the control ring is also duplicated across multiple zones as three gateway rings (GW).
    Reference:
    https://docs.microsoft.com/en-us/azure/azure-sql/database/high-availability-sla


    NEW QUESTION # 260
    You have an instance of SQL Server on Azure Virtual Machine named SQL1.
    You need to monitor SQL1 and query the metrics by using Kusto query language. The solution must minimize administrative effort.
    Where should you store the metrics?

    • A. Azure Event Hubs
    • B. Azure SQL Database
    • C. a Log Analytics workspace
    • D. an Azure Blob storage container

    Answer: C


    NEW QUESTION # 261
    ......

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