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NEW QUESTION: 1
Which Azure service and feature should you recommend using to manage the transient data for Data Lake Storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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
Which features are supported in the OAuthV2 policy? Choose 3 answers
A. Setting different expiration for refresh and access tokens
B. Setting custom attributes for generated access tokens
C. Credentials validation when password grant_type is used
D. Storing of external access tokens
Answer: A,B,C

NEW QUESTION: 3
A user in the MC wants to use salesforce custom object data for segmenting and personalization.
How should the consultant approach this requirement?
A. Export report data from the sales cloud and import into a marketing cloud synchronized data extension.
Use a filter activity to produce a sendable data extension. Create an email send activity in Automation Studio
B. Map the custom objects to the profile center and use the email editor to insert the custom data. Create a user-initiated send to associate the email to the largest audience and return tracking data.
C. Create a custom report type that contains the contact or lead ID, email address, and custom object data, then from the marketing cloud, import into a Salesforce Data extension. Use AMPScript in the email to call data
D. Sync contact and custom objects with Data Stream and send from Synchronized Data Extension with Salesforce email send. Ensure there is a lookup relationship to a contact or lead record.
Answer: C

NEW QUESTION: 4
한 회사에서 다중 계층 애플리케이션을 온 프레미스에서 AWS 클라우드로 이동하여 애플리케이션의 성능을 개선하려고합니다. 애플리케이션은 RESTful 서비스를 통해 서로 통신하는 애플리케이션 계층으로 구성됩니다. 한 계층이 오버로드되면 트랜잭션이 삭제됩니다. 솔루션 설계자는 이러한 문제를 해결하고 애플리케이션을 현대화 하는 솔루션을 설계해야 합니다.
이러한 요구 사항을 충족하는 솔루션은 무엇이며 운영상 가장 효율적입니까?
A. Amazon Simple Notification Service (Amazon SNS)를 사용하여 Auto Scaling 그룹의 Amazon EC2에서 실행되는 애플리케이션 서버 간의 메시징 처리 Amazon CloudWatch를 사용하여 SNS 대기열 길이를 모니터링하고 필요에 따라 확장 및 축소
B. Amazon API Gateway를 사용하고 애플리케이션 계층으로 AWS Lambda 기능에 직접 트랜잭션을 사용합니다. Amazon Simple Queue Service (Amazon SQS)를 애플리케이션 서비스 간의 통신 계층으로 사용합니다.
C. Amazon CloudWatch 지표를 사용하여 애플리케이션 성능 기록을 분석하여 성능 장애 중 서버의 최대 사용률을 확인합니다. 애플리케이션 서버의 Amazon EC2 인스턴스 크기를 늘려 최대 요구 사항을 충족합니다.
D. Amazon Simple Queue Service (Amazon SQS)를 사용하여 Auto Scaling 그룹의 Amazon EC2에서 실행되는 애플리케이션 서버 간의 메시징 처리 Amazon CloudWatch를 사용하여 SQS 대기열 길이를 모니터링하고 통신 실패가 감지되면 확장
Answer: D

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