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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement a PaaS database solution | 15-20% | - Implement and configure Azure SQL Database
|
| Topic 2: Implement secure resources | 20-25% | - Implement a risk mitigation strategy based on requirements
|
| Topic 3: Plan and implement data platform resources | 20-25% | - Plan and implement data platform resources based on requirements
|
| Topic 4: Monitor database operations | 10-15% | - Monitor and log database activity
|
| Topic 5: Implement a SQL Server database | 15-20% | - Provision and configure SQL Server on Azure VMs
|
| Topic 6: Optimize database solutions | 10-15% | - Optimize query performance
|
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NEW QUESTION # 374
You have a Microsoft SQL Server 2017 server that hosts five databases.
You Plan to migrate the databases to Azure.
You need to recommend a solution that meets the following requirements:
Automatically scales compute based on the workload demand
Provides per-second billing
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Basic Concept: This question tests choosing the correct Azure migration approach by matching the source platform, target service, downtime tolerance, and administrative effort.
Why the selected answer is Correct: The selected values fit this scenario because they apply the required Azure SQL configuration at the correct scope and sequence: You need to recommend a solution that meets the following requirements: Automatically scales compute based on the workload demand Provides per-second billing What should you include in the recommendation?
Why the alternate choices are Wrong: The alternate selections would either use a migration tier that does not match the downtime requirement, choose a network resource that does not support the migration path, or add an unnecessary deployment component.
NEW QUESTION # 375
You have the following Azure Data Factory pipelines:
* Ingest Data from System1
* Ingest Data from System2
* Populate Dimensions
* Populate Facts
Ingest Data from System1 and Ingest Data from System2 have no dependencies. Populate Dimensions must execute after Ingest Data from System1 and Ingest Data from System2. Populate Facts must execute after the Populate Dimensions pipeline. All the pipelines must execute every eight hours.
What should you do to schedule the pipelines for execution?
Answer: A
Explanation:
Section: [none]
Explanation/Reference:
https://www.mssqltips.com/sqlservertip/6137/azure-data-factory-control-flow-activities-overview/
NEW QUESTION # 376
You have an Azure SQL database.
Users report that the executions of a stored procedure are slower than usual. You suspect that a regressed query is causing the performance issue.
You need to view the query execution plan to verify whether a regressed query is causing the issue. The solution must minimize effort.
What should you use?
Answer: A
Explanation:
Use the Query Store Page in SQL Server Management Studio.
Query performance regressions caused by execution plan changes can be non-trivial and time consuming to resolve.
Since the Query Store retains multiple execution plans per query, it can enforce policies to direct the Query Processor to use a specific execution plan for a query. This is referred to as plan forcing. Plan forcing in Query Store is provided by using a mechanism similar to the USE PLAN query hint, but it does not require any change in user applications. Plan forcing can resolve a query performance regression caused by a plan change in a very short period of time.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the-query-store
NEW QUESTION # 377
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.
What should you implement to meet the disaster recovery requirements for the PaaS solution?
Answer: D
Explanation:
Scenario: 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.
The auto-failover groups feature allows you to manage the replication and failover of a group of databases on a server or all databases in a managed instance to another region. It is a declarative abstraction on top of the existing active geo-replication feature, designed to simplify deployment and management of geo- replicated databases at scale. You can initiate failover manually or you can delegate it to the Azure service based on a user-defined policy.
The latter option allows you to automatically recover multiple related databases in a secondary region after a catastrophic failure or other unplanned event that results in full or partial loss of the SQL Database or SQL Managed Instance availability in the primary region.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-overview
NEW QUESTION # 378
You have an on-premises Microsoft SQL Server 2019 instance that hosts a database named DB1.
You plan to perform an online migration of DB1 to an Azure SQL managed instance by using the Azure Database Migration Service.
You need to create a backup of DB1 that is accessible to the Azure Database Migration Service.
What should you run for the backup and where should you store the backup? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/dms/tutorial-sql-server-managed-instance-online
NEW QUESTION # 379
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