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| Section | Objectives |
|---|---|
| Topic 1: Plan and implement data platform resources | - Deploy and configure infrastructure
|
| Topic 2: Implement a secure environment | - Implement data protection
|
| Topic 3: Optimize query performance | - Analyze query performance
|
| Topic 4: Perform automation | - Automate database tasks
|
| Topic 5: Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Topic 6: Monitor and optimize operational resources | - Monitor database performance
|
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NEW QUESTION # 152
Case Study 2 - Contoso, Ltd
Overview
General Overview
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to customers.
Physical Locations
Contoso has a datacenter in Los Angeles and an Azure subscription. All Azure resources are in the US West 2 Azure region. Contoso has a 10-Gb ExpressRoute connection to Azure.
The company has customers worldwide.
Existing Environment
Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active Directory.
Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.
SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides historical data, and handles the delivery of data to customers.
The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.
Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers.
The customers receive the files by using FTP.
Requirements
Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource group that contains an Azure SQL database will be provisioned for the customer. The database will have a complete copy of the financial data. The data to which each customer will have access will depend on the service agreement tier. The customers can change tiers by changing their service agreement.
The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
Start onboarding customers to the new PaaS solution within six months.
Business Goals
Contoso identifies the following business requirements:
Use built-in Azure features whenever possible.
Minimize development effort whenever possible.
Minimize the compute costs of the PaaS solutions.
Provide all the customers with their own copy of the database by using the PaaS solution.
Provide the customers with different table and row access based on the customer's service agreement.
In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
Ensure that users of the PaaS solution can create their own database objects but he prevented from modifying any of the existing database objects supplied by Contoso.
Technical Requirements
Contoso identifies the following technical requirements:
Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure AD of Contoso to minimize guest users.
All customers must have their own resource group, Azure SQL server, and Azure SQL database. The deployment of resources for each customer must be done in a consistent fashion.
Users must be able to review the queries issued against the PaaS databases and identify any new objects created.
Downtime during the PostgreSQL database migration must be minimized.
Monitoring Requirements
Contoso identifies the following monitoring requirements:
Notify administrators when a PaaS database has a higher than average CPU usage.
Use a single dashboard to review security and audit data for all the PaaS databases.
Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues automatically whenever possible.
PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer's Azure SQL database as shown in the following exhibit.
Role Assignments
For each customer's Azure SQL Database server, you plan to assign the roles shown in the following exhibit.
You need to implement a solution to notify the administrators. The solution must meet the monitoring requirements.
What should you do?
Answer: B
Explanation:
Notify administrators when a PaaS database has a higher than average CPU usage.
With Dynamic Thresholds, we use a unique ML technology to identify the patterns and come up with a single alert rule that has the right thresholds and accounts for seasonality patterns such as hourly, daily, or weekly.
Reference:
https://azure.microsoft.com/en-gb/blog/announcing-azure-monitor-aiops-alerts-with-dynamic-thresholds/
NEW QUESTION # 153
You have an Azure subscription that contains an Azure SQL managed instance, a database named db1, and an Azure web app named Appl. Appl uses db1.
You need to enable Resource Governor for a App1. The solution must meet the following requirements:
App1 must be able to consume all available CPU resources.
App1 must have at least half of the available CPU resources always available.
Which three actions should you perform in sequence? To answer. move the appropriate actions from the list of actions to the answer area and arrange them in the correct order NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
NEW QUESTION # 154
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 SQL Server 2019 on an Azure virtual machine.
You are troubleshooting performance issues for a query in a SQL Server instance.
To gather more information, you query sys.dm_exec_requests and discover that the wait type is PAGELATCH_UP and the wait_resource is 2:3:905856.
You need to improve system performance.
Solution: You change the data file for the master database to autogrow by 10 percent.
Does this meet the goal?
Answer: A
Explanation:
You should instead reduce the use of table variables and temporary tables.
Or you could create additional tempdb files
Note: The following operations use tempdb extensively:
* Repetitive create-and-drop operation of temporary tables (local or global).
* Table variables that use tempdb for storage.
* Etc.
Reference:
https://docs.microsoft.com/en-US/troubleshoot/sql/performance/recommendations-reduce-allocation-contention
NEW QUESTION # 155
You have an Azure SQL database that contains a table named Employees. Employees contains a column named Salary.
You need to encrypt the Salary column. The solution must prevent database administrators from reading the data in the Salary column and must provide the most secure encryption.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create a column master key
Create a column master key metadata entry before you create a column encryption key metadata entry in the database and before any column in the database can be encrypted using Always Encrypted.
Step 2: Create a column encryption key.
Step 3: Encrypt the Salary column by using the randomized encryption type.
Randomized encryption uses a method that encrypts data in a less predictable manner. Randomized encryption is more secure, but prevents searching, grouping, indexing, and joining on encrypted columns.
Note: A column encryption key metadata object contains one or two encrypted values of a column encryption key that is used to encrypt data in a column. Each value is encrypted using a column master key.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted-database-engine
NEW QUESTION # 156
You have an Azure subscription that contains an Azure SQL managed instance named SQLMi1 and a SQL Agent job named Backupdb. Backupdb performs a daily backup of the databases hosted on SQLMi1.
You need to be notified by email if the job fails.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
1 - Enable Database mail.
2 - Create an operator.
3 - Add a failure notification to the job.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/job-automation-managed-instance
NEW QUESTION # 157
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