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NEW QUESTION # 72
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.
Based on the PaaS prototype, which Azure SQL Database compute tier should you use?
Answer: A
Explanation:
Scenario: Exhibit show idle periods with intermittent spikes.
Serverless is a compute tier for single databases in Azure SQL Database that automatically scales compute based on workload demand and bills for the amount of compute used per second. The serverless compute tier also automatically pauses databases during inactive periods when only storage is billed and automatically resumes databases when activity returns.
Incorrect Answers:
B: Hyperscale is for large databases
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/serverless-tier-overview
NEW QUESTION # 73
You have SQL Server on an Azure virtual machine that contains a database named Db1.
You need to enable automatic tuning for Db1.
How should you complete the statements? To answer, select the appropriate answer in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: SET AUTOMATIC_TUNING = AUTO
To enable automatic tuning on a single database via T-SQL, connect to the database and execute the following query:
ALTER DATABASE current SET AUTOMATIC_TUNING = AUTO
Setting automatic tuning to AUTO will apply Azure Defaults.
Box 2: SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON)
To configure individual automatic tuning options via T-SQL, connect to the database and execute the query such as this one:
ALTER DATABASE current SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON) Setting the individual tuning option to ON will override any setting that database inherited and enable the tuning option. Setting it to OFF will also override any setting that database inherited and disable the tuning option.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/automatic-tuning-enable
NEW QUESTION # 74
You need to apply 20 built-in Azure Policy definitions to all new and existing Azure SQL Database deployments in an Azure subscription. The solution must minimize administrative effort.
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:
1 - Create an Azure Policy Initiative
2 - Create an Azure Policy Initiative assignment
3 - Run Azure Policy remediation tasks
Reference:
https://docs.microsoft.com/en-us/azure/governance/policy/tutorials/create-and-manage
NEW QUESTION # 75
You plan to deploy Instance1 by using the following script.
You need to specify the licenseType and storagenedundancy parameters. The deployment must meet the availability requirements and the business requirements for DB1 and DB2.
To what should you set each parameter? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
NEW QUESTION # 76
You have an Azure SQL managed instance named SQLMI1 that has the following settings:
- vCores: 4
- Service tier: General Purpose
- Hardware generation: Standard-series (Gen5)
You discover that memory pressure on SQLMI1 is high.
You need to reduce the memory pressure on SQLMI1. The solution must minimize costs.
What should to do?
Answer: B
Explanation:
The Query Store option is a cost-effective way to reduce memory pressure on a managed Azure SQL instance. The Query Store stores temporary data used by queries in the cloud, reducing the memory requirements of the managed Azure SQL instance.
NEW QUESTION # 77
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