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| Section | Objectives |
|---|---|
| Implement a secure environment | - Implement data protection
|
| Monitor and optimize operational resources | - Monitor database performance
|
| Optimize query performance | - Improve performance
|
| Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Plan and implement data platform resources | - Plan and configure security for the data platform
|
| Perform automation | - Automate database tasks
|
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NEW QUESTION # 375
A data engineer creates a table to store employee information for a new application. All employee names are in the US English alphabet. All addresses are locations in the United States. The data engineer uses the following statement to create the table.
You need to recommend changes to the data types to reduce storage and improve performance.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Basic Concept: This question tests performance optimization for SQL workloads, including Query Store, automatic tuning, index/statistics maintenance, and engine-level resource behavior.
Why A and E is Correct: Change Salary to the money data type. is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. In this scenario, the important constraint is: You need to recommend changes to the data types to reduce storage and improve performance. Change Salary to the money data type. satisfies that constraint without adding an unrelated service or manual process. Change LastHireDate to the date data type.
is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. In this scenario, the important constraint is: You need to recommend changes to the data types to reduce storage and improve performance. Change LastHireDate to the date data type. satisfies that constraint without adding an unrelated service or manual process.
Why B is Wrong: Change PhoneNumber to the float data type. is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
Why C is Wrong: Change LastHireDate to the datetime2(7) data type. is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It does not expose the required metric, query history, wait/blocking signal, or tuning mechanism; using it would not give the administrator the evidence requested.
Why D is Wrong: Change PhoneNumber to the bigint data type. is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature.
NEW QUESTION # 376
You have SQL Server 2019 on an Azure virtual machine that runs Windows Server 2019. The virtual machine has 4 vCPUs and 28 GB of memory.
You scale up the virtual machine to 16 vCPUSs and 64 GB of memory.
You need to provide the lowest latency for tempdb.
What is the total number of data files that tempdb should contain?
Answer: B
Explanation:
The number of files depends on the number of (logical) processors on the machine. As a general rule, if the
number of logical processors is less than or equal to eight, use the same number of data files as logical processors. If the number of logical processors is greater than eight, use eight data files and then if contention
continues, increase the number of data files by multiples of 4 until the contention is reduced to acceptable levels or make changes to the workload/code.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/databases/tempdb-database
NEW QUESTION # 377
You have an Azure SQL database.
You run the following PowerShell script.
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:
Text Description automatically generated
Reference:
https://docs.microsoft.com/en-us/powershell/module/az.sql/set-azsqldatabasebackupshorttermretentionpolicy?vie
https://docs.microsoft.com/en-us/powershell/module/az.sql/set-azsqldatabasebackuplongtermretentionpolicy?vie
NEW QUESTION # 378
You need to design an analytical storage solution for the transactional dat a. The solution must meet the sales transaction dataset requirements.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://rajanieshkaushikk.com/2020/09/09/how-to-choose-right-data-distribution-strategy-for-azure-synapse/
NEW QUESTION # 379
You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns:
ProductID
ItemPrice
LineTotal
Quantity
StoreID
Minute
Month
Hour
Year
Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. The solution must minimize storage costs.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting-partitions-with-no-new-data
NEW QUESTION # 380
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