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| Section | Objectives |
|---|---|
| Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Optimize query performance | - Improve performance
|
| Implement a secure environment | - Implement data protection
|
| Plan and implement data platform resources | - Deploy and configure infrastructure
|
| Perform automation | - Automate database tasks
|
| Monitor and optimize operational resources | - Monitor database performance
|
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NEW QUESTION # 82
You need to recommend a configuration for ManufacturingSQLDb1 after the migration to Azure. The solution must meet the business requirements.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Scenario: Business Requirements
Litware identifies business requirements include: meet an SLA of 99.99% availability for all Azure deployments.
Box 1: Cloud witness
If you have a Failover Cluster deployment, where all nodes can reach the internet (by extension of Azure), it is recommended that you configure a Cloud Witness as your quorum witness resource.
Box 2: Azure Basic Load Balancer
Microsoft guarantees that a Load Balanced Endpoint using Azure Standard Load Balancer, serving two or more Healthy Virtual Machine Instances, will be available 99.99% of the time.
Note: There are two main options for setting up your listener: external (public) or internal. The external (public) listener uses an internet facing load balancer and is associated with a public Virtual IP (VIP) that is accessible over the internet. An internal listener uses an internal load balancer and only supports clients within the same Virtual Network.
Reference:
https://technet.microsoft.com/windows-server-docs/failover-clustering/deploy-cloud-witness
https://azure.microsoft.com/en-us/support/legal/sla/load-balancer/v1_0/
NEW QUESTION # 83
You plan to build a structured streaming solution in Azure Databricks. The solution will count new events in fiveminute intervals and report only events that arrive during the interval.
The output will be sent to a Delta Lake table.
Which output mode should you use?
Answer: B
Explanation:
Complete mode: You can use Structured Streaming to replace the entire table with every batch.
Reference:
https://docs.databricks.com/delta/delta-streaming.html
Basic Concept: This question tests plan and configure a high availability and disaster recovery (ha/dr) environment in the DP-300 exam context. The correct choice is determined by the exact service boundary and operational requirement stated in the scenario.
Why A is Correct: complete is correct because it is the feature whose normal purpose matches the stated requirement. complete is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. The scenario wording points to that specific behavior: You plan to build a structured streaming solution in Azure Databricks.
Why B is Wrong: append 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 C is Wrong: update 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.
NEW QUESTION # 84
You have a 50-TB Microsoft SQL Server database named DB1.
You need to reduce the time it takes to perform database consistency checks of DB1.
Which Transact-SQL command should you run? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/database-console-commands/dbcc-checkdb-transact-sql?view=sql- server-ver15
NEW QUESTION # 85
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:
Explanation
Graphical user interface, text, application Description automatically generated
Box 1: .partitionBy
Example:
df.write.partitionBy("y","m","d")
mode(SaveMode.Append)
parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("Year","Month","Day","Hour","StoreID")
Box 3: .parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting-partitio
NEW QUESTION # 86
You have a SQL Server on Azure Virtual Machines instance named VM1 . You run the following query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
NEW QUESTION # 87
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