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NEW QUESTION: 1

A. Option B
B. Option D
C. Option C
D. Option A
Answer: A

NEW QUESTION: 2
攻撃者がアクセスリストを使用してネットワークと通信するのを阻止するために、IPSシグネチャのどのようなイベントアクションが使用されますか？
A. Deny Attacker Inline
B. リクエストブロックホスト
C. パケットインラインの拒否
D. 接続拒否インライン
E. ブロック接続要求
Answer: B

NEW QUESTION: 3
You have a Microsoft 365 E5 subscription that is linked to an Azure Active Directory (Azure AD) tenant. The tenant contains the groups shown in the following table.

You need to create a new team by using the Microsoft Teams client.
Which group can you use to create the new team?
A. Group4
B. Group1
C. Group3
D. Group2
Answer: C
Explanation:
Reference:
https://support.microsoft.com/en-us/office/create-a-team-from-an-existing-group-24ec428e-40d7-4a1a-ab87-29be7d145865

NEW QUESTION: 4
Which Azure data storage solution should you recommend for each application? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Health Review: Azure SQL Database
Scenario: ADatum identifies the following requirements for the Health Review application:
* Ensure that sensitive health data is encrypted at rest and in transit.
* Tag all the sensitive health data in Health Review. The data will be used for auditing.
Health Interface: Azure Cosmos DB
ADatum identifies the following requirements for the Health Interface application:
* Upgrade to a data storage solution that will provide flexible schemas and increased throughput for writing data. Data must be regionally located close to each hospital, and reads must display be the most recent committed version of an item.
* Reduce the amount of time it takes to add data from new hospitals to Health Interface.
* Support a more scalable batch processing solution in Azure.
* Reduce the amount of development effort to rewrite existing SQL queries.
Health Insights: Azure SQL Data Warehouse
Azure SQL Data Warehouse is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution.
You can access Azure SQL Data Warehouse (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance.
Scenario: ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables References:
https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html