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| Section | Objectives |
|---|---|
| Topic 1: Implement a secure environment | - Manage database authentication and authorization
|
| Topic 2: Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Topic 3: Optimize query performance | - Analyze query performance
|
| Topic 4: Monitor and optimize operational resources | - Optimize resources
|
| Topic 5: Perform automation | - Automate database tasks
|
| Topic 6: Plan and implement data platform resources | - Plan and configure security for the data platform
|
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NEW QUESTION # 312
Drag and Drop Question
You have an Azure key vault named Vault1 and a SQL server on Azure Virtual Machines instance named SQL1. SQL1 hosts a database named DB1.
You need to configure Transparent Data Encryption (TDE) on DB1 to use a key in Vault1.
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:
NEW QUESTION # 313
Based on the PaaS prototype, which Azure SQL Database compute tier should you use?
Answer: C
Explanation:
There are CPU and Data I/O spikes for the PaaS prototype. Business Critical 4-vCore is needed.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/reserved-capacity-overview
Topic 3, ADatum Corporation
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
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stores and the website.
DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.
NEW QUESTION # 314
HOTSPOT
You have SQL Server on an Azure virtual machine.
You review the query plan shown in the following exhibit.
For each of the following statements, select yes if the statement is true. Otherwise, select no.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation/Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the-
query-store
NEW QUESTION # 315
You are building a database in an Azure Synapse Analytics serverless SQL pool.
You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.
Records are structured as shown in the following sample.
The records contain two applicants at most.
You need to build a table that includes only the address fields.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: CREATE EXTERNAL TABLE
An external table points to data located in Hadoop, Azure Storage blob, or Azure Data Lake Storage. External tables are used to read data from files or write data to files in Azure Storage. With Synapse SQL, you can use external tables to read external data using dedicated SQL pool or serverless SQL pool.
Syntax:
CREATE EXTERNAL TABLE { database_name.schema_name.table_name | schema_name.table_name | table_name } ( <column_definition> [ ,...n ] ) WITH ( LOCATION = 'folder_or_filepath', DATA_SOURCE = external_data_source_name, FILE_FORMAT = external_file_format_name Box 2. OPENROWSET When using serverless SQL pool, CETAS is used to create an external table and export query results to Azure Storage Blob or Azure Data Lake Storage Gen2.
Example:
AS
SELECT decennialTime, stateName, SUM(population) AS population
FROM
OPENROWSET(BULK 'https://azureopendatastorage.blob.core.windows.net/censusdatacontainer/release
/us_population_county/year=*/*.parquet',
FORMAT='PARQUET') AS [r]
GROUP BY decennialTime, stateName
GO
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables
NEW QUESTION # 316
You have the on premises networks shown in the following table.
You have an Azure subscription that contains an Azure SQL Database server named SQL1. SQL1 contains two databases named DB1 and DB2.
You need to configure access to DB1 and DB2. The solution must meet the following requirements:
Ensure that DB1 can be accessed only by users in Branch1.
Ensure that DB2 can be accessed only by users in Branch2.
Solution: You connect to DB1 and run the following command:
EXECUTE sp_set_firewall_rule ' Deny db1 users ' , ' 131.107.11.0 ' , ' 131.107.11.255 ' You connect to DB2 and run the following command:
EXECUTE sp_set_database_firewall_rule ' Deny db2 users ' , ' 131.107.10.0 ' , ' 131.107.10.255 ' Does this meet the goal?
Answer: A
NEW QUESTION # 317
......
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