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Exam Code: Associate-Developer-Apache-Spark

Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Version: V15.35

Q & A: 208 Questions and Answers

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Manche nennen sie so.

NEW QUESTION: 1
Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team's existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
A. Azure Event Grid
B. Azure Stream Analytics
C. Apache Kafka streams
D. Azure Notification Hubs
Answer: A
Explanation:
Explanation
Event Hubs Capture is the easiest way to automatically deliver streamed data in Event Hubs to an Azure Blob storage or Azure Data Lake store. You can subsequently process and deliver the data to any other storage destinations of your choice, such as SQL Data Warehouse or Cosmos DB.
You to capture data from your event hub into a SQL data warehouse by using an Azure function triggered by an event grid.
Example:

First, you create an event hub with the Capture feature enabled and set an Azure blob storage as the destination. Data generated by WindTurbineGenerator is streamed into the event hub and is automatically captured into Azure Storage as Avro files.
Next, you create an Azure Event Grid subscription with the Event Hubs namespace as its source and the Azure Function endpoint as its destination.
Whenever a new Avro file is delivered to the Azure Storage blob by the Event Hubs Capture feature, Event Grid notifies the Azure Function with the blob URI. The Function then migrates data from the blob to a SQL data warehouse.
References:
https://docs.microsoft.com/en-us/azure/event-hubs/store-captured-data-data-warehouse

NEW QUESTION: 2
회사는 SLA가 99.99 % 인 동적 미션 크리티컬 웹 애플리케이션을 실행합니다. 글로벌 애플리케이션 사용자는 24/7 애플리케이션에 액세스합니다. 응용 프로그램은 현재 온 프레미스에서 호스팅되며 특히 수백만 명의 사용자가 동시에 응용 프로그램에 액세스하는 경우 SLA를 충족시키지 못합니다. 원격 사용자는 대기 시간에 대해 불평합니다.
이 응용 프로그램을 어떻게 확장 가능하도록 설계하고 가장 저렴한 비용으로 자동 장애 조치를 수행해야 합니까?
A. 상태 점검을 통해 Amazon Route 53 라운드 로빈 라우팅을 사용하여로드를 여러 지역에 균등하게 분배하십시오. 각 지역의 애플리케이션 계층에 대한 추가 Network Load Balancer 및 Fargate 컨테이너와 함께 Network Load Balancer 뒤에 AWS Fargate 기술 컨테이너를 사용하여 웹 사이트를 자동으로 확장 된 Amazon ECS에서 호스팅합니다. 데이터 계층에 Amazon Aurora 복제본을 사용하십시오.
B. Amazon Route 53 지리적 위치 기반 라우팅을 사용하십시오. 각 지역의 애플리케이션 계층에 대한 추가 Network Load Balancer 및 Fargate 컨테이너를 사용하여 Network Load Balancer 뒤에 자동으로 확장 된 AWS Fargate 컨테이너에서 웹 사이트를 호스팅하십시오. 데이터 계층으로 Aurora MySQL 용 Amazon Aurora 다중 마스터를 사용하십시오.
C. 상태 점검을 통해 가장 가까운 리전으로 라우팅하려면 Amazon Route 53 대기 시간 기반 라우팅을 사용하십시오. 각 리전에서 Amazon S3에 웹 사이트를 호스팅하고 애플리케이션 계층에 AWS Lambda와 함께 Amazon API Gateway를 사용하십시오. 캐싱을 위해 Amazon DynamoDB Accelerator (DAX)와 함께 Amazon DynamoDB 전역 테이블을 데이터 계층으로 사용하십시오.
D. 지리적 위치 기반 라우팅과 함께 Amazon Route 53 장애 조치 라우팅을 사용하십시오. 각 지역의 애플리케이션 계층에 대한 추가 Application Load Balancer 및 EC2 인스턴스를 사용하여 Application Load Balancer 뒤에서 자동으로 확장 된 Amazon EC2 인스턴스에서 웹 사이트를 호스팅하십시오. 데이터 계층으로 MySQL을 사용한 다중 AZ 배포를 사용하십시오.
Answer: B

NEW QUESTION: 3
You are managing a design project that would provide design drawings to your customer. The requirements of this project were not clearly defined in the beginning, and there would need to be many changes based on customer feedback as the project evolves. You elaborate the work of the project to the level of detail you know at the time. Which of the following techniques would be the most helpful while defining activities for the project?
A. Just in time
B. Extreme programming
C. Rolling wave planning
D. Decomposition
Answer: C

NEW QUESTION: 4
개발자가 매주 뉴스 레터를 생성하여 10,000 명의 사용자에게 보내는 AWS Lambda 함수를 구축하고 있습니다.이 뉴스 레터에는 정적 텍스트와 이미지가 모두 포함되어 있습니다. 개발자는 뉴스 레터에 하이퍼 링크로 연결될 이미지를 저장할 빠르고 확장 성이 뛰어난 장소가 필요합니다. 개발자가 이 이미지를 저장합니까?
A. 퍼블릭 DNS 엔드 포인트와 Auto Scaling이 활성화 된 Amazon Aurora 데이터베이스 사용
B. Amazon S3 버킷 및 S3 Transfer Acceleration을 사용하여 이미지 다운로드 속도 향상
C. 높은 TTL (Time-to-Live)과 함께 Amazon S3 지원 Amazon CloudFront 배포를 사용하여 캐싱을 최대화합니다.
D. DynamoDB Streams 및 읽기 용량 Auto Scaling이 활성화 된 Amazon DynamoDB 테이블 사용
Answer: C

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