Data-Engineer-Associate퍼펙트최신버전덤프샘플 - Data-Engineer-Associate시험대비덤프최신문제

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Amazon Data-Engineer-Associate인증은 아주 중요한 인증시험중의 하나입니다. ExamPassdump의 베터랑의 전문가들이 오랜 풍부한 경험과 IT지식으로 만들어낸 IT관연인증시험 자격증자료들입니다. 이런 자료들은 여러분이Amazon인증시험중의Data-Engineer-Associate시험을 안전하게 패스하도록 도와줍니다. ExamPassdump에서 제공하는 덤프들은 모두 100%통과 율을 보장하며 그리고 일년무료 업뎃을 제공합니다

경쟁율이 치열한 IT업계에서 아무런 목표없이 아무런 희망없이 무미건조한 생활을 하고 계시나요? 다른 사람들이 모두 취득하고 있는 자격증에 관심도 없는 분은 치열한 경쟁속에서 살아남기 어렵습니다. Amazon인증 Data-Engineer-Associate시험패스가 힘들다한들ExamPassdump덤프만 있으면 어려운 시험도 쉬워질수 밖에 없습니다. Amazon인증 Data-Engineer-Associate덤프에 있는 문제만 잘 이해하고 습득하신다면Amazon인증 Data-Engineer-Associate시험을 패스하여 자격증을 취득해 자신의 경쟁율을 업그레이드하여 경쟁시대에서 안전감을 보유할수 있습니다.

>> Data-Engineer-Associate퍼펙트 최신버전 덤프샘플 <<

Data-Engineer-Associate시험대비 덤프 최신문제, Data-Engineer-Associate시험패스 인증공부

Amazon Data-Engineer-Associate 덤프를 구매하여 1년무료 업데이트서비스를 제공해드립니다. 1년무료 업데이트 서비스란 ExamPassdump에서Amazon Data-Engineer-Associate덤프를 구매한 분은 구매일부터 추후 일년간 Amazon Data-Engineer-Associate덤프가 업데이트될때마다 업데이트된 가장 최신버전을 무료로 제공받는 서비스를 가리킵니다. 1년무료 업데이트 서비스는Amazon Data-Engineer-Associate시험불합격받을시 덤프비용환불신청하면 종료됩니다.

최신 AWS Certified Data Engineer Data-Engineer-Associate 무료샘플문제 (Q243-Q248):

질문 # 243
A company uses an Amazon Redshift cluster as a data warehouse that is shared across two departments. To comply with a security policy, each department must have unique access permissions.
Department A must have access to tables and views for Department A. Department B must have access to tables and views for Department B.
The company often runs SQL queries that use objects from both departments in one query.
Which solution will meet these requirements with the LEAST operational overhead?

A. Group tables and views for each department into dedicated databases. Manage permissions at the database level.
B. Group tables and views for each department into dedicated schemas. Manage permissions at the schema level.
C. Update the names of the tables and views to follow a naming convention that contains the department names. Manage permissions based on the new naming convention.
D. Create an IAM user group for each department. Use identity-based IAM policies to grant table and view permissions based on the IAM user group.

정답：B

질문 # 244
A data engineer needs to use Amazon Neptune to develop graph applications.
Which programming languages should the engineer use to develop the graph applications? (Select TWO.)

A. SPARQL
B. Gremlin
C. ANSI SQL
D. Spark SQL
E. SQL

정답：A,B

설명：
Amazon Neptune supports graph applications using Gremlin and SPARQL as query languages. Neptune is a fully managed graph database service that supports both property graph and RDF graph models.
* Option A: GremlinGremlin is a query language for property graph databases, which is supported by Amazon Neptune. It allows the traversal and manipulation of graph data in the property graph model.
* Option D: SPARQLSPARQL is a query language for querying RDF graph data in Neptune. It is used to query, manipulate, and retrieve information stored in RDF format.
Other options:
* SQL (Option B) and ANSI SQL (Option C) are traditional relational database query languages and are not used for graph databases.
* Spark SQL (Option E) is related to Apache Spark for big data processing, not for querying graph databases.
References:
* Amazon Neptune Documentation
* Gremlin Documentation
* SPARQL Documentation

질문 # 245
A company receives .csv files that contain physical address data. The data is in columns that have the following names: Door_No, Street_Name, City, and Zip_Code. The company wants to create a single column to store these values in the following format:

Which solution will meet this requirement with the LEAST coding effort?

A. Write a Lambda function in Python to read the files. Use the Python data dictionary type to create the new column.
B. Use AWS Glue DataBrew to read the files. Use the PIVOT transformation to create the new column.
C. Use AWS Glue DataBrew to read the files. Use the NEST TO ARRAY transformation to create the new column.
D. Use AWS Glue DataBrew to read the files. Use the NEST TO MAP transformation to create the new column.

정답：D

설명：
The NEST TO MAP transformation allows you to combine multiple columns into a single column that contains a JSON object with key-value pairs. This is the easiest way to achieve the desired format for the physical address data, as you can simply select the columns to nest and specify the keys for each column. The NEST TO ARRAY transformation creates a single column that contains an array of values, which is not the same as the JSON object format. The PIVOT transformation reshapes the data by creating new columns from unique values in a selected column, which is not applicable for this use case. Writing a Lambda function in Python requires more coding effort than using AWS Glue DataBrew, which provides a visual and interactive interface for data transformations. References:
7 most common data preparation transformations in AWS Glue DataBrew (Section: Nesting and unnesting columns) NEST TO MAP - AWS Glue DataBrew (Section: Syntax)

질문 # 246
A company is building a data lake for a new analytics team. The company is using Amazon S3 for storage and Amazon Athena for query analysis. All data that is in Amazon S3 is in Apache Parquet format.
The company is running a new Oracle database as a source system in the company's data center. The company has 70 tables in the Oracle database. All the tables have primary keys. Data can occasionally change in the source system. The company wants to ingest the tables every day into the data lake.
Which solution will meet this requirement with the LEAST effort?

A. Create an AWS Database Migration Service (AWS DMS) task for ongoing replication. Set the Oracle database as the source. Set Amazon S3 as the target. Configure the task to write the data in Parquet format.
B. Create an AWS Glue connection to the Oracle database. Create an AWS Glue bookmark job to ingest the data incrementally and to write the data to Amazon S3 in Parquet format.
C. Create an Apache Sqoop job in Amazon EMR to read the data from the Oracle database. Configure the Sqoop job to write the data to Amazon S3 in Parquet format.
D. Create an Oracle database in Amazon RDS. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises Oracle database to Amazon RDS. Configure triggers on the tables to invoke AWS Lambda functions to write changed records to Amazon S3 in Parquet format.

정답：A

설명：
The company needs to ingest tables from an on-premises Oracle database into a data lake on Amazon S3 in Apache Parquet format. The most efficient solution, requiring the least manual effort, would be to use AWS Database Migration Service (DMS) for continuous data replication.
Option C: Create an AWS Database Migration Service (AWS DMS) task for ongoing replication. Set the Oracle database as the source. Set Amazon S3 as the target. Configure the task to write the data in Parquet format.AWS DMS can continuously replicate data from the Oracle database into Amazon S3, transforming it into Parquet format as it ingests the data. DMS simplifies the process by providing ongoing replication with minimal setup, and it automatically handles the conversion to Parquet format without requiring manual transformations or separate jobs. This option is the least effort solution since it automates both the ingestion and transformation processes.
Other options:
Option A (Apache Sqoop on EMR) involves more manual configuration and management, including setting up EMR clusters and writing Sqoop jobs.
Option B (AWS Glue bookmark job) involves configuring Glue jobs, which adds complexity. While Glue supports data transformations, DMS offers a more seamless solution for database replication.
Option D (RDS and Lambda triggers) introduces unnecessary complexity by involving RDS and Lambda for a task that DMS can handle more efficiently.
References:
AWS Database Migration Service (DMS)
DMS S3 Target Documentation

질문 # 247
A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file.
Which Step Functions state should the data engineer use to meet these requirements?

A. Choice state
B. Map state
C. Parallel state
D. Wait state

정답：B

설명：
Option C is the correct answer because the Map state is designed to process a collection of data in parallel by applying the same transformation to each element. The Map state can invoke a nested workflow for each element, which can be another state machine or a Lambda function. The Map state will wait until all the parallel executions are completed before moving to the next state.
Option A is incorrect because the Parallel state is used to execute multiple branches of logic concurrently, not to process a collection of data. The Parallel state can have different branches with different logic and states, whereas the Map state has only one branch that is applied to each element of the collection.
Option B is incorrect because the Choice state is used to make decisions based on a comparison of a value to a set of rules. The Choice state does not process any data or invoke any nested workflows.
Option D is incorrect because the Wait state is used to delay the state machine from continuing for a specified time. The Wait state does not process any data or invoke any nested workflows.
Reference:
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 5: Data Orchestration, Section 5.3: AWS Step Functions, Pages 131-132 Building Batch Data Analytics Solutions on AWS, Module 5: Data Orchestration, Lesson 5.2: AWS Step Functions, Pages 9-10 AWS Documentation Overview, AWS Step Functions Developer Guide, Step Functions Concepts, State Types, Map State, Pages 1-3

질문 # 248
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Amazon인증 Data-Engineer-Associate시험패스는 고객님의 IT업계종사자로서의 전환점이 될수 있습니다.자격증을 취득하여 승진 혹은 연봉협상 방면에서 자신만의 위치를 지키고 더욱 멋진 IT인사로 거듭날수 있도록 고고싱할수 있습니다. ExamPassdump의 Amazon인증 Data-Engineer-Associate덤프는 시장에서 가장 최신버전으로서 시험패스를 보장해드립니다.

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뿐만아니라 Data-Engineer-Associate덤프를 구매하시면 1년무료 업데이트서비스를 제공해드리는데 Data-Engineer-Associate덤프구매후 업데이트될때마다 업데이트버전을 고객님 구매시 사용한 메일주소로 발송해드려 덤프유효기간을 연장해드립니다, 우리ExamPassdump에서는 끊임없는 업데이트로 항상 최신버전의Amazon인증Data-Engineer-Associate시험덤프를 제공하는 사이트입니다, 만약 덤프품질은 알아보고 싶다면 우리ExamPassdump 에서 무료로 제공되는 덤프일부분의 문제와 답을 체험하시면 되겠습니다, ExamPassdump 는 100%의 보장 도를 자랑하며Data-Engineer-Associate시험은 한번에 패스할 수 있는 덤프입니다, Data-Engineer-Associate시험을 패스하여 자격증을 취득하고 싶은 분들은ExamPassdump제품을 추천해드립니다.온라인서비스를 찾아주시면 할인해드릴게요.

생각만 해도 벼랑 끝으로 추락하는 듯 아찔해서 율리어스의 팔을 꽉 잡았다, 불타오르는 금안과 마주친 황제는 재빠르게 입을 다물었다, 뿐만아니라 Data-Engineer-Associate덤프를 구매하시면 1년무료 업데이트서비스를 제공해드리는데 Data-Engineer-Associate덤프구매후 업데이트될때마다 업데이트버전을 고객님 구매시 사용한 메일주소로 발송해드려 덤프유효기간을 연장해드립니다.

Data-Engineer-Associate퍼펙트최신버전덤프샘플 - Data-Engineer-Associate시험대비덤프최신문제

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Data-Engineer-Associate시험대비 덤프 최신문제, Data-Engineer-Associate시험패스 인증공부

최신 AWS Certified Data Engineer Data-Engineer-Associate 무료샘플문제 (Q243-Q248):

최신버전 Data-Engineer-Associate퍼펙트 최신버전 덤프샘플 완벽한 덤프공부문제

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