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NEW QUESTION: 1
会社はMicrosoft Cloud App Securityを使用しています。
Cloud App Securityとセキュリティ情報およびイベント管理（SIEM）を統合する予定です。
Windows Server 2016を実行するサーバーにSIEMエージェントを展開する必要があります。
あなたは何をするべきか？回答するには、回答領域で適切な設定を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
References:
https://docs.microsoft.com/en-us/office365/securitycompliance/integrate-your-siem-server-with-office-365-cas

NEW QUESTION: 2



A. Replace LEFT(CustomerName ,1) = 'a' with SUBSTRING(CustomerName ,1/1) = 'a'.
B. Replace LEFT(CustomerName ,1) = 'a' with CustomerName LIKE 'a%'.
C. Replace IX_CustomerName with a clustered index.
D. Partition the table and use the CustomerName column for the partition scheme.
Answer: B

NEW QUESTION: 3
A user has launched an RDS postgreSQL DB with AWS. The user did not specify the maintenance window during creation. The user has configured RDS to update the DB instance type from micro to large. If the user wants to have it during the maintenance window, what will AWS do?
A. It is not possible to change the DB size from micro to large with RDS
B. AWS will not allow to update the DB until the maintenance window is configured
C. AWS will ask the user to specify the maintenance window during the update
D. AWS will select the default maintenance window if the user has not provided it
Answer: D
Explanation:
AWS RDS has a compulsory maintenance window which by default is 30 minutes. If the user does not specify the maintenance window during the creation of RDS then AWS will select a 30-minute maintenance window randomly from an 8-hour block of time per region. In this case, Amazon RDS assigns a 30-minute maintenance window on a randomly selected day of the week.

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
A workload for data engineers who will use Python and SQL.
A workload for jobs that will run notebooks that use Python, Scala, and SOL.
A workload that data scientists will use to perform ad hoc analysis in Scala and R.
The enterprise architecture team at your company identifies the following standards for Databricks environments:
The data engineers must share a cluster.
The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databricks clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
B. Yes
Answer: B
Explanation:
Reference:
https://docs.azuredatabricks.net/clusters/configure.html

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