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| Section | Objectives |
|---|---|
| Plan and implement a high availability and disaster recovery environment | - Design HA/DR solutions
|
| Implement a secure environment | - Implement data protection
|
| Perform automation | - Automate database tasks
|
| Plan and implement data platform resources | - Plan and configure security for the data platform
|
| Optimize query performance | - Improve performance
|
| Monitor and optimize operational resources | - Monitor database performance
|
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NEW QUESTION # 205
SIMULATION
You need to generate an email alert for db1 if the average CPU percentage utilization is greater than 50 percent for five minutes sampled at one-minute intervals. The alert must be sent to admin@contoso.com.
You may need to use SQL Server Management Studio and the Azure portal.
Answer:
Explanation:
To create an email alert for high CPU percentage utilization in an Azure database within the Azure portal, you'll first need to navigate to your database resource, then to the "Alerts" section.
From there, you'll create a new alert rule, define the CPU percentage threshold, configure an action group for email notifications, and finally, create the alert rule.
Create alerts for Azure SQL Database and Azure Synapse Analytics using the Azure portal Step 1: In the Azure portal, locate the resource you are interested in monitoring and select it.
[Select db1]
Step 2: In the resource menu under Monitoring, select Alerts. The text and icon might vary slightly for different resources.
Step 3: Select the + Create button, then Alert rule.
Step 4: On the Create an alert rule page, the Scope is automatically configured to the individual resource.
Capture activity peaks or sustained resource stress with alerts on the Metrics signal category.
Step 5: On the Condition tab, select See all signals and Select a signal from the list of Metrics.
Step 6: Select the desired metric, for example CPU percentage. Select Apply. [Select CPU percentage] Step 7: After you select a signal, the Alert logic options appear. A preview of recent activity in this resource for that signal is also displayed.
Step 8: Configure a Threshold type to determine when the alert will take action. Choose Aggregation type, Operator, and Threshold value as desired. A typical threshold is: Static, Maximum, Greater than, 80%.
Threshold: [Select 50%]
Operator: [Select Greater than]
Aggregation granularity: [Select 5 minutes]
Select the interval that's used to group the data points by using the aggregation type function.
Choose an Aggregation granularity (period) that's greater than the Frequency of evaluation to reduce the likelihood of missing the first evaluation period of an added time series.
Frequency of evaluation: [Select one minute]
Select how often the alert rule is to be run. Select a frequency that's smaller than the aggregation granularity to generate a sliding window for the evaluation.
Step 9: Under When to evaluate, determine the desired frequency of evaluation. Use the Check every and Lookback period dropdown lists.
Step 10: Optionally, you can add multiple conditions for this alert, choose the Add condition alert if desired.
Step 11: Select Next: Actions >.
Create the new alert rule
Step 12: Use the Use quick actions feature to create a new action group and provide an email or Azure mobile app notification target.
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/database/alerts-create?
NEW QUESTION # 206
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 Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: You use a dedicated SQL pool to create an external table that has an additional DateTime column.
Does this meet the goal?
Answer: A
Explanation:
Section: [none]
Explanation:
Instead use a serverless SQL pool to create an external table with the extra column.
Note: In dedicated SQL pools you can only use Parquet native external tables. Native external tables are generally available in serverless SQL pools.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/create-use-external-tables 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.
Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.
Physical Locations
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
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 # 207
You have a SQL Server on Azure Virtual Machines instance that hosts a database named Db1.
You need to configure the autogrow and autoshrink settings for DB1.
Which statements should you use? To answer, select the appropriate options in the answer are a.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 208
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.
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
NEW QUESTION # 209
You have SQL Server on an Azure virtual machine that contains a database named DB1.
You have an application that queries DB1 to generate a sales report.
You need to see the parameter values from the last time the query was executed.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
Last_Query_Plan_Stats allows you to enable or disable collection of the last query plan statistics (equivalent to an actual execution plan) in sys.dm_exec_query_plan_stats.
Lightweight profiling can be disabled at the database level using the LIGHTWEIGHT_QUERY_PROFILING database scoped configuration: ALTER DATABASE SCOPED CONFIGURATION SET LIGHTWEIGHT_QUERY_PROFILING = OFF;.
Incorrect Answers:
E: Parameter sensitivity, also known as "parameter sniffing", refers to a process whereby SQL Server "sniffs" the current parameter values during compilation or recompilation, and passes it along to the Query Optimizer so that they can be used to generate potentially more efficient query execution plans.
Parameter values are sniffed during compilation or recompilation for the following types of batches:
* Stored procedures
* Queries submitted via sp_executesql
* Prepared queries
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/query-profiling-infrastructure
NEW QUESTION # 210
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