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NEW QUESTION: 1
Data Lake Storageの一時データを管理するために、どのAzureサービスと機能を使用することをお勧めしますか？ 回答するには、回答エリアで適切なオプションを選択します。
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

Scenario: Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use.
Files that have a modified date that is older than 14 days must be removed.
Service: Azure Data Factory
Clean up files by built-in delete activity in Azure Data Factory (ADF).
ADF built-in delete activity, which can be part of your ETL workflow to deletes undesired files without writing code. You can use ADF to delete folder or files from Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, File System, FTP Server, sFTP Server, and Amazon S3.
You can delete expired files only rather than deleting all the files in one folder. For example, you may want to only delete the files which were last modified more than 13 days ago.
Feature: Delete Activity
Reference:
https://azure.microsoft.com/sv-se/blog/clean-up-files-by-built-in-delete-activity-in-azure-data-factory/

NEW QUESTION: 2
Botnets are networks of compromised computers that are controlled remotely and surreptitiously by one or more cyber criminals. How do cyber criminals infect a victim's computer with bots? (Select 4 answers)
A. Attackers use phishing or spam emails that contain links or attachments
B. Home computers that have security vulnerabilities are prime targets for botnets
C. Spammers scan the Internet looking for computers that are unprotected and use these "open-doors" to install malicious software
D. Attackers use websites to host the bots utilizing Web Browser vulnerabilities
E. Attackers physically visit every victim's computer to infect them with malicious software
Answer: A,B,C,D
Explanation:
New Questions

NEW QUESTION: 3
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.
Your company uses Microsoft SQL Server to deploy a data warehouse to an environment that has a SQL Server Analysis Services (SSAS) instance. The data warehouse includes the Fact.Order table as shown in the following table definition. The table has no indexes.

You must minimize the amount of space that indexes for the Fact.Order table consume. You run the following queries frequently. Both queries must be able to use a columnstore index:

You need to ensure that the queries complete as quickly as possible.
Solution: You create a measure for the Fact.Order table.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation/Reference:
Explanation:
You should use a columnstore index.
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes- overview?view=sql-server-2017

NEW QUESTION: 4
開発者は、自動スケーリンググループのAmazon EC2インスタンスで実行されるアプリケーションを作成しています。アプリケーションデータはAmazon DynamoDBテーブルに保存され、レコードはすべてのインスタンスによって常に更新されます。インスタンスが古いデータを取得することがある
a。開発者は、読み取りの整合性を確実にすることにより、これを修正したいと考えています。
開発者はこれをどのように達成できますか？
A. 新しいDynamoDB Accelerator（DAX）テーブルを作成します。
B. 更新テーブルを呼び出すときに整合性を強に設定します。
C. Getitemを呼び出すときは、consistentReadをtrueに設定します。
D. Getshardlteratorコマンドを使用します。
Answer: A