VALID FREE DATA-ENGINEER-ASSOCIATE EXAM ANSWER COLLECTION - DATA-ENGINEER-ASSOCIATE REAL VCE

Valid free Data-Engineer-Associate exam answer collection - Data-Engineer-Associate real vce

Valid free Data-Engineer-Associate exam answer collection - Data-Engineer-Associate real vce

Blog Article

Tags: Data-Engineer-Associate Actual Exam, Data-Engineer-Associate Real Question, Latest Data-Engineer-Associate Dumps Ppt, Data-Engineer-Associate Paper, Latest Data-Engineer-Associate Braindumps Free

BONUS!!! Download part of Lead2PassExam Data-Engineer-Associate dumps for free: https://drive.google.com/open?id=1VGiRV-Aq545XFFL6AmaY-ZRUKJ9ck-Gp

The software creates an AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) exam-like scenario for you which helps to kill anxiety about the Amazon Data-Engineer-Associate Certification Exams Questions. Customizable Data-Engineer-Associate practice test software enables you to change settings of practice exam time and questions. Since the Lead2PassExam software tracks your progress, you can know mistakes and overcome them before the Amazon Data-Engineer-Associate final test.

You can see the demos of our Data-Engineer-Associate exam questions which are part of the all titles selected from the test bank and the forms of the questions and answers and know the form of our software on the website pages of our study materials. The website pages list the important information about our Data-Engineer-Associate real quiz. You can analyze the information the website pages provide carefully before you decide to buy our Data-Engineer-Associate learning braindumps.

>> Data-Engineer-Associate Actual Exam <<

Use Desktop Amazon Data-Engineer-Associate Practice Test Software To Identify Gaps In Knowledge

The objective of Data-Engineer-Associate is to assist candidates in preparing for the AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) certification test by equipping them with the actual Amazon Data-Engineer-Associate questions PDF and Data-Engineer-Associate practice exams to attempt the prepare for your Data-Engineer-Associate Exam successfully. The AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) practice material comes in three formats, desktop Data-Engineer-Associate practice test software, web-based Data-Engineer-Associate practice exam, and Data-Engineer-Associate Dumps PDF that cover all exam topics.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q105-Q110):

NEW QUESTION # 105
A company uses Amazon S3 buckets, AWS Glue tables, and Amazon Athena as components of a data lake. Recently, the company expanded its sales range to multiple new states. The company wants to introduce state names as a new partition to the existing S3 bucket, which is currently partitioned by date.
The company needs to ensure that additional partitions will not disrupt daily synchronization between the AWS Glue Data Catalog and the S3 buckets.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Run a REFRESH TABLE command in Athena.
  • B. Use the AWS Glue API to manually update the Data Catalog.
  • C. Schedule an AWS Glue crawler to periodically update the Data Catalog.
  • D. Run an MSCK REPAIR TABLE command in Athena.

Answer: C

Explanation:
Scheduling an AWS Glue crawler to periodically update the Data Catalog automates the process of detecting new partitions and updating the catalog, which minimizes manual maintenance and operational overhead.


NEW QUESTION # 106
A data engineer needs to build an extract, transform, and load (ETL) job. The ETL job will process daily incoming .csv files that users upload to an Amazon S3 bucket. The size of each S3 object is less than 100 MB.
Which solution will meet these requirements MOST cost-effectively?

  • A. Write a custom Python application. Host the application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.
  • B. Write a PySpark ETL script. Host the script on an Amazon EMR cluster.
  • C. Write an AWS Glue Python shell job. Use pandas to transform the data.
  • D. Write an AWS Glue PySpark job. Use Apache Spark to transform the data.

Answer: C

Explanation:
AWS Glue is a fully managed serverless ETL service that can handle various data sources and formats, including .csv files in Amazon S3. AWS Glue provides two types of jobs: PySpark and Python shell. PySpark jobs use Apache Spark to process large-scale data in parallel, while Python shell jobs use Python scripts to process small-scale data in a single execution environment. For this requirement, a Python shell job is more suitable and cost-effective, as the size of each S3 object is less than 100 MB, which does not require distributed processing. A Python shell job can use pandas, a popular Python library fordata analysis, to transform the .csv data as needed. The other solutions are not optimal or relevant for this requirement. Writing a custom Python application and hosting it on an Amazon EKS cluster would require more effort and resources to set up and manage the Kubernetes environment, as well as to handle the data ingestion and transformation logic. Writing a PySpark ETL script and hosting it on an Amazon EMR cluster would also incur more costs and complexity to provision and configure the EMR cluster, as well as to use Apache Spark for processing small data files. Writing an AWS Glue PySpark job would also be less efficient and economical than a Python shell job, as it would involve unnecessary overhead and charges for using Apache Spark for small data files. References:
AWS Glue
Working with Python Shell Jobs
pandas
[AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide]


NEW QUESTION # 107
A company loads transaction data for each day into Amazon Redshift tables at the end of each day. The company wants to have the ability to track which tables have been loaded and which tables still need to be loaded.
A data engineer wants to store the load statuses of Redshift tables in an Amazon DynamoDB table. The data engineer creates an AWS Lambda function to publish the details of the load statuses to DynamoDB.
How should the data engineer invoke the Lambda function to write load statuses to the DynamoDB table?

  • A. Use a second Lambda function to invoke the first Lambda function based on AWS CloudTrail events.
  • B. Use the Amazon Redshift Data API to publish an event to Amazon EventBridqe. Configure an EventBridge rule to invoke the Lambda function.
  • C. Use a second Lambda function to invoke the first Lambda function based on Amazon CloudWatch events.
  • D. Use the Amazon Redshift Data API to publish a message to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke the Lambda function.

Answer: B

Explanation:
The Amazon Redshift Data API enables you to interact with your Amazon Redshift data warehouse in an easy and secure way. You can use the Data API to run SQL commands, such as loading data into tables, without requiring a persistent connection to the cluster. The Data API also integrates with Amazon EventBridge, which allows you to monitor the execution status of your SQL commands and trigger actions based on events. By using the Data API to publish an event to EventBridge, the data engineer can invoke the Lambda function that writes the load statuses to the DynamoDB table. This solution is scalable, reliable, and cost-effective. The other options are either not possible or not optimal. You cannot use a second Lambda function to invoke the first Lambda function based on CloudWatch or CloudTrail events, as these services do not capture the load status of Redshift tables. You can use the Data API to publish a message to an SQS queue, but this would require additional configuration and polling logic to invoke the Lambda function from the queue. This would also introduce additional latency and cost. References:
Using the Amazon Redshift Data API
Using Amazon EventBridge with Amazon Redshift
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 2: Data Store Management, Section 2.2: Amazon Redshift


NEW QUESTION # 108
A company stores its processed data in an S3 bucket. The company has a strict data access policy. The company uses IAM roles to grant teams within the company different levels of access to the S3 bucket.
The company wants to receive notifications when a user violates the data access policy. Each notification must include the username of the user who violated the policy.
Which solution will meet these requirements?

  • A. Use AWS Config rules to detect violations of the data access policy. Set up compliance alarms.
  • B. Use Amazon S3 server access logs to monitor access to the bucket. Forward the access logs to an Amazon CloudWatch log group. Use metric filters on the log group to set up CloudWatch alarms.
  • C. Use Amazon CloudWatch metrics to gather object-level metrics. Set up CloudWatch alarms.
  • D. Use AWS CloudTrail to track object-level events for the S3 bucket. Forward events to Amazon CloudWatch to set up CloudWatch alarms.

Answer: D

Explanation:
The requirement is to detect violations of data access policies and receive notifications with the username of the violator. AWS CloudTrail can provide object-level tracking for S3 to capture detailed API actions on specific S3 objects, including the user who performed the action.
* AWS CloudTrail:
* CloudTrail can monitor API calls made to an S3 bucket, including object-level API actions such as GetObject, PutObject, and DeleteObject. This will help detect access violations based on the API calls made by different users.
* CloudTrail logs include details such as the user identity, which is essential for meeting the requirement of including the username in notifications.
* The CloudTrail logs can be forwarded to Amazon CloudWatch to trigger alarms based on certain access patterns (e.g., violations of specific policies).


NEW QUESTION # 109
A data engineer must orchestrate a series of Amazon Athena queries that will run every day. Each query can run for more than 15 minutes.
Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

  • A. Use an AWS Glue Python shell job and the Athena Boto3 client start_query_execution API call to invoke the Athena queries programmatically.
  • B. Create an AWS Step Functions workflow and add two states. Add the first state before the Lambda function. Configure the second state as a Wait state to periodically check whether the Athena query has finished using the Athena Boto3 get_query_execution API call. Configure the workflow to invoke the next query when the current query has finished running.
  • C. Use an AWS Lambda function and the Athena Boto3 client start_query_execution API call to invoke the Athena queries programmatically.
  • D. Use an AWS Glue Python shell script to run a sleep timer that checks every 5 minutes to determine whether the current Athena query has finished running successfully. Configure the Python shell script to invoke the next query when the current query has finished running.
  • E. Use Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the Athena queries in AWS Batch.

Answer: B,C

Explanation:
Option A and B are the correct answers because they meet the requirements most cost-effectively. Using an AWS Lambda function and the Athena Boto3 client start_query_execution API call to invoke the Athena queries programmatically is a simple and scalable way to orchestrate the queries. Creating an AWS Step Functions workflow and adding two states to check the query status and invoke the next query is a reliable and efficient way to handle the long-running queries.
Option C is incorrect because using an AWS Glue Python shell job to invoke the Athena queries programmatically is more expensive than using a Lambda function, as it requires provisioning and running a Glue job for each query.
Option D is incorrect because using an AWS Glue Python shell script to run a sleep timer that checks every 5 minutes to determine whether the current Athena query has finished running successfully is not a cost- effective or reliable way to orchestrate the queries, as it wastes resources and time.
Option E is incorrect because using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the Athena queries in AWS Batch is an overkill solution that introduces unnecessary complexity and cost, as it requires setting up and managing an Airflow environment and an AWS Batch compute environment.
References:
* AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 5: Data Orchestration, Section 5.2: AWS Lambda, Section 5.3: AWS Step Functions, Pages 125-135
* Building Batch Data Analytics Solutions on AWS, Module 5: Data Orchestration, Lesson 5.1: AWS Lambda, Lesson 5.2: AWS Step Functions, Pages 1-15
* AWS Documentation Overview, AWS Lambda Developer Guide, Working with AWS Lambda Functions, Configuring Function Triggers, Using AWS Lambda with Amazon Athena, Pages 1-4
* AWS Documentation Overview, AWS Step Functions Developer Guide, Getting Started, Tutorial:
Create a Hello World Workflow, Pages 1-8


NEW QUESTION # 110
......

As we all know it is not easy to obtain the Amazon Data-Engineer-Associate certification, and especially for those who cannot make full use of their sporadic time. But you are lucky, we can provide you with well-rounded services on Amazon Data-Engineer-Associate Practice Braindumps to help you improve ability.

Data-Engineer-Associate Real Question: https://www.lead2passexam.com/Amazon/valid-Data-Engineer-Associate-exam-dumps.html

There is no doubt that PDF of Data-Engineer-Associate exam torrent is the most prevalent version among youngsters, mainly due to its convenience for a demo, through which you can have a general understanding about our Data-Engineer-Associate test braindumps, and also convenience for paper printing for you to do some note-taking, Our Software version of Data-Engineer-Associate study materials will be your best assistant.

This lesson gets hands on as we introduce the common types of visuals used to communicate data in a business setting, So do not hesitate and buy our Data-Engineer-Associate preparation exam, you will benefit a lot from our products.

100% Pass Quiz Amazon - Data-Engineer-Associate - Efficient AWS Certified Data Engineer - Associate (DEA-C01) Actual Exam

There is no doubt that PDF of Data-Engineer-Associate exam torrent is the most prevalent version among youngsters, mainly due to its convenience for a demo, through which you can have a general understanding about our Data-Engineer-Associate Test Braindumps, and also convenience for paper printing for you to do some note-taking.

Our Software version of Data-Engineer-Associate study materials will be your best assistant, Users can start using Amazon Data-Engineer-Associate instantly after purchasing it, Get the right reward for your potential, believing in the easiest and to the point Data-Engineer-Associate exam questions that are meant to bring you a brilliant success in Data-Engineer-Associate exams.

In our site, you could enjoy full refund policy, Data-Engineer-Associate that is to say, if you fail the exam with any reason, we will refund to you.

What's more, part of that Lead2PassExam Data-Engineer-Associate dumps now are free: https://drive.google.com/open?id=1VGiRV-Aq545XFFL6AmaY-ZRUKJ9ck-Gp

Report this page