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| Section | Weight | Objectives |
|---|---|---|
| Monitor database operations | 10-15% | - Troubleshoot database issues
|
| Implement a SQL Server database | 15-20% | - Provision and configure SQL Server on Azure VMs
|
| Implement a PaaS database solution | 15-20% | - Implement and configure Azure SQL Database
|
| Plan and implement data platform resources | 20-25% | - Recommend an appropriate database offering based on requirements
|
| Implement secure resources | 20-25% | - Implement a risk mitigation strategy based on requirements
|
| Optimize database solutions | 10-15% | - Optimize database resources
|
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NEW QUESTION # 28
Hotspot Question
You have an Azure subscription that contains an Azure SQL database named DB1.
You execute the following T-SQL statements against DB1.
For each of the following statements, select Yes if the statement is true, otherwise select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The NCHAR(10) data type is a fixed-length Unicode character data type. Each character in NCHAR takes 2 bytes because it uses UTF-16 encoding. Therefore, NCHAR(10) will always occupy 20 bytes on disk (2 bytes per character for 10 characters), not 10 bytes. However, the statement is asking if each field occupies 10 bytes, which is misleading; it should be 20 bytes.
The statement "ALTER TABLE table1 REBUILD WITH (DATA_COMPRESSION = ROW);" specifies row-level compression, not dictionary compression. Row compression reduces the size of the data by storing fixed-length data types in variable-length storage format and by reducing metadata overhead. Dictionary compression is a feature of page compression, not row compression.
Column1 (TINYINT): Supports compression. Row compression can store this as a smaller size if possible. Column2 (VARCHAR(255)): Supports compression. Row compression can store only the used length of the string. Column4 (BINARY(50)): Supports compression. Row compression can store binary data more efficiently by removing unnecessary padding.
NEW QUESTION # 29
You have an Azure Synapse Analytics dedicated SQL pool.
You run PDW_SHOWSPACEUSED('dbo.FactInternetSales'); and get the results shown in the following table.
Which statement accurately describes the dbo.FactInternetSales table?
Answer: C
Explanation:
The rows per distribution can vary up to 10% without a noticeable impact on performance. Here the distribution varies more than 10%. It is skewed.
Note: SHOWSPACEUSED displays the number of rows, disk space reserved, and disk space used for a specific table, or for all tables in a Azure Synapse Analytics or Parallel Data Warehouse database.
This is a very quick and simple way to see the number of table rows that are stored in each of the
60 distributions of your database. Remember that for the most balanced performance, the rows in your distributed table should be spread evenly across all the distributions.
ROUND_ROBIN distributed tables should not be skewed. Data is distributed evenly across the nodes by design.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://github.com/rgl/azure-content/blob/master/articles/sql-data-warehouse/sql-data-warehouse-manage-distributed-data-skew.md
NEW QUESTION # 30
What should you do after a failover of SalesSQLDb1 to ensure that the database remains accessible to SalesSQLDb1App1?
Answer: D
Explanation:
Scenario: SalesSQLDb1 uses database firewall rules and contained database users.
Basic Concept: This question tests high availability and disaster recovery design for Azure SQL, SQL Server on Azure VMs, and regional failure scenarios.
Why B is Correct: Update the connection strings of SalesSQLDb1App1. is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. In this scenario, the important constraint is: What should you do after a failover of SalesSQLDb1 to ensure that the database remains accessible to SalesSQLDb1App1? Update the connection strings of SalesSQLDb1App1. satisfies that constraint without adding an unrelated service or manual process.
Why A is Wrong: Configure SalesSQLDb1 as writable. is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. It is not wrong technology in general, but it is the wrong HA/DR control for this scenario ' s failure model.
Why C is Wrong: Update the firewall rules of SalesSQLDb1. is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. It handles a different resilience pattern and would not deliver the failover or recovery behavior required here.
Why D is Wrong: Update the users in SalesSQLDb1. is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. It is not wrong technology in general, but it is the wrong HA/DR control for this scenario ' s failure model.
Topic 1, Litware
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 # 31
You have an Azure SQL database named sqldb1.
You need to minimize the amount of space by the data and log files of sqldb1.
What should you run?
Answer: C
Explanation:
Section: [none]
Explanation:
DBCC SHRINKDATABASE shrinks the size of the data and log files in the specified database.
Incorrect Answers:
D: To shrink one data or log file at a time for a specific database, execute the DBCC SHRINKFILE command.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/database-console-commands/dbcc-shrinkdatabase-transact-sql
NEW QUESTION # 32
You need to implement statistics maintenance for SalesSQLDb1. The solution must meet the technical requirements.
Which four 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:
Automating Azure SQL DB index and statistics maintenance using Azure Automation:
1. Create Azure automation account (Step 1)
2. Import SQLServer module (Step 2)
3. Add Credentials to access SQL DB
This will use secure way to hold login name and password that will be used to access Azure SQL DB
4. Add a runbook to run the maintenance (Step 3)
Steps:
1. Click on " runbooks " at the left panel and then click " add a runbook "
2. Choose " create a new runbook " and then give it a name and choose " Powershell " as the type of the runbook and then click on " create "
5. Schedule task (Step 4)
Steps:
1. Click on Schedules
2. Click on " Add a schedule " and follow the instructions to choose existing schedule or create a new schedule.
Reference:
https://techcommunity.microsoft.com/t5/azure-database-support-blog/automating-azure-sql-db-index-and-statistics-maintenance-using/ba-p/368974
NEW QUESTION # 33
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