Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Core Board › Core-PX30-JD4› Original Data-Engineer-Associate Questions - Authori ...
New Topic
Print Previous Topic Next Topic

[General] Original Data-Engineer-Associate Questions - Authorized Data-Engineer-Associate

robking651

135

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
135

【General】 Original Data-Engineer-Associate Questions - Authorized Data-Engineer-Associate

Posted at 3 hour before      View：21 | Replies：0        Print      Only Author   [Copy Link] 1#
DOWNLOAD the newest Prep4sureGuide Data-Engineer-Associate PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1ru-qgs_3CXTxUAZcCOEz5zIs0RJMtuk3
We believe that every customer pays most attention to quality when he is shopping. Only high-quality goods can meet the needs of every customer better. And our Data-Engineer-Associate study materials have such high quality, because its hit rate of test questions is extremely high. Perhaps you will find in the examination that a lot of questions you have seen many times in our Data-Engineer-Associate Study Materials. In addition, the passing rate is the best test for quality of study materials. And we can be very proud to tell you that the passing rate of our Data-Engineer-Associate study materials is almost 100 %.
You will be cast in light of career acceptance and put individual ability to display. When you apply for a job you could have more opportunities than others. What is more, there is no interminable cover charge for our Data-Engineer-Associate practice engine priced with reasonable prices for your information. Considering about all benefits mentioned above, you must have huge interest to our Data-Engineer-Associate Study Materials. You should take the look at our Data-Engineer-Associate simulating questions right now.
Get Free 365 Days Update on Amazon Data-Engineer-Associate DumpsBy unremitting effort and studious research of the Data-Engineer-Associate practice materials, they devised our high quality and high effective Data-Engineer-Associate practice materials which win consensus acceptance around the world. They are meritorious experts with a professional background in this line and remain unpretentious attitude towards our Data-Engineer-Associate practice materials all the time. They are unsuspecting experts who you can count on.
Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q150-Q155):NEW QUESTION # 150
An ecommerce company processes millions of orders each day. The company uses AWS Glue ETL to collect data from multiple sources, clean the data, and store the data in an Amazon S3 bucket in CSV format by using the S3 Standard storage class. The company uses the stored data to conduct daily analysis.
The company wants to optimize costs for data storage and retrieval.
Which solution will meet this requirement?
  • A. Configure AWS Glue ETL to use Amazon EMR to process incoming data in parallel.
  • B. Transition the data to Amazon S3 Glacier Flexible Retrieval.
  • C. Transition the data from Amazon S3 to an Amazon Aurora cluster.
  • D. Configure AWS Glue ETL to transform the incoming data to Apache Parquet format.
Answer: D
Explanation:
Apache Parquet is a columnar storage format that is much more space-efficient than row-based formats like CSV, especially for analytics workloads. Transforming data from CSV to Parquet significantly reduces storage costs and improves query performance. According to the study guide:
"Parquet is a columnar storage file format that is optimized for use with analytics workloads, providing efficient storage and fast query performance."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf By switching to Parquet, the company can reduce both storage size and retrieval times, making it the optimal choice for cost-effective data analysis.

NEW QUESTION # 151
A data engineer must build an extract, transform, and load (ETL) pipeline to process and load data from 10 source systems into 10 tables that are in an Amazon Redshift database. All the source systems generate .csv, JSON, or Apache Parquet files every 15 minutes. The source systems all deliver files into one Amazon S3 bucket. The file sizes range from 10 MB to 20 GB. The ETL pipeline must function correctly despite changes to the data schema.
Which data pipeline solutions will meet these requirements? (Choose two.)
  • A. Configure an AWS Lambda function to invoke an AWS Glue crawler when a file is loaded into the S3 bucket. Configure an AWS Glue job to process and load the data into the Amazon Redshift tables.
    Create a second Lambda function to run the AWS Glue job. Create an Amazon EventBridge rule to invoke the second Lambda function when the AWS Glue crawler finishes running successfully.
  • B. Use an Amazon EventBridge rule to run an AWS Glue job every 15 minutes. Configure the AWS Glue job to process and load the data into the Amazon Redshift tables.
  • C. Configure an AWS Lambda function to invoke an AWS Glue workflow when a file is loaded into the S3 bucket. Configure the AWS Glue workflow to have an on-demand trigger that runs an AWS Glue crawler and then runs an AWS Glue job when the crawler finishes running successfully. Configure the AWS Glue job to process and load the data into the Amazon Redshift tables.
  • D. Configure an AWS Lambda function to invoke an AWS Glue job when a file is loaded into the S3 bucket. Configure the AWS Glue job to read the files from the S3 bucket into an Apache Spark DataFrame. Configure the AWS Glue job to also put smaller partitions of the DataFrame into an Amazon Kinesis Data Firehose delivery stream. Configure the delivery stream to load data into the Amazon Redshift tables.
  • E. Use an Amazon EventBridge rule to invoke an AWS Glue workflow job every 15 minutes. Configure the AWS Glue workflow to have an on-demand trigger that runs an AWS Glue crawler and then runs an AWS Glue job when the crawler finishes running successfully. Configure the AWS Glue job to process and load the data into the Amazon Redshift tables.
Answer: B,E
Explanation:
Using an Amazon EventBridge rule to run an AWS Glue job or invoke an AWS Glue workflow job every 15 minutes are two possible solutions that will meet the requirements. AWS Glue is a serverless ETL service that can process and load data from various sources to various targets, including Amazon Redshift. AWS Glue can handle different data formats, such as CSV, JSON, and Parquet, and also support schema evolution, meaning it can adapt to changes in the data schema over time. AWS Glue can also leverage Apache Spark to perform distributed processing and transformation of large datasets. AWS Glue integrates with Amazon EventBridge, which is a serverless event bus service that can trigger actions based on rules and schedules. By using an Amazon EventBridge rule, you can invoke an AWS Glue job or workflow every 15 minutes, and configure the job or workflow to run an AWS Glue crawler and then load the data into the Amazon Redshift tables. This way, you can build a cost-effective and scalable ETL pipeline that can handle data from 10 source systems and function correctly despite changes to the data schema.
The other options are not solutions that will meet the requirements. Option C, configuring an AWS Lambda function to invoke an AWS Glue crawler when a file is loaded into the S3 bucket, and creating a second Lambda function to run the AWS Glue job, is not a feasible solution, as it would require a lot of Lambda invocations andcoordination. AWS Lambda has some limits on the execution time, memory, and concurrency, which can affect the performance and reliability of the ETL pipeline. Option D, configuring an AWS Lambda function to invoke an AWS Glue workflow when a file is loaded into the S3 bucket, is not a necessary solution, as you can use an Amazon EventBridge rule to invoke the AWS Glue workflow directly, without the need for a Lambda function. Option E, configuring an AWS Lambda function to invoke an AWS Glue job when a file is loaded into the S3 bucket, and configuring the AWS Glue job to put smaller partitions of the DataFrame into an Amazon Kinesis Data Firehose delivery stream, is not a cost-effective solution, as it would incur additional costs for Lambda invocations and data delivery. Moreover, using Amazon Kinesis Data Firehose to load data into Amazon Redshift is not suitable for frequent and small batches of data, as it can cause performance issues and data fragmentation. References:
AWS Glue
Amazon EventBridge
Using AWS Glue to run ETL jobs against non-native JDBC data sources
[AWS Lambda quotas]
[Amazon Kinesis Data Firehose quotas]

NEW QUESTION # 152
A company analyzes data in a data lake every quarter to perform inventory assessments. A data engineer uses AWS Glue DataBrew to detect any personally identifiable information (PII) about customers within the data.
The company's privacy policy considers some custom categories of information to be PII. However, the categories are not included in standard DataBrew data quality rules.
The data engineer needs to modify the current process to scan for the custom PII categories across multiple datasets within the data lake.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Manually review the data for custom PII categories.
  • B. Implement regex patterns to extract PII information from fields during extract transform, and load (ETL) operations into the data lake.
  • C. Develop custom Python scripts to detect the custom PII categories. Call the scripts from DataBrew.
  • D. Implement custom data quality rules in Data Brew. Apply the custom rules across datasets.
Answer: D
Explanation:
The data engineer needs to detect custom categories of PII within the data lake using AWS Glue DataBrew.
While DataBrew provides standard data quality rules, the solution must support custom PII categories.
* Option B: Implement custom data quality rules in DataBrew. Apply the custom rules across datasets.This option is the most efficient because DataBrew allows the creation of custom data quality rules that can be applied to detect specific data patterns, including custom PII categories. This approach minimizes operational overhead while ensuring that the specific privacy requirements are met.
Options A, C, and D either involve manual intervention or developing custom scripts, both of which increase operational effort compared to using DataBrew's built-in capabilities.
References:
* AWS Glue DataBrew Documentation

NEW QUESTION # 153
A financial services company stores financial data in Amazon Redshift. A data engineer wants to run real-time queries on the financial data to support a web-based trading application. The data engineer wants to run the queries from within the trading application.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Set up Java Database Connectivity (JDBC) connections to Amazon Redshift.
  • B. Establish WebSocket connections to Amazon Redshift.
  • C. Store frequently accessed data in Amazon S3. Use Amazon S3 Select to run the queries.
  • D. Use the Amazon Redshift Data API.
Answer: D
Explanation:
The Amazon Redshift Data API is a built-in feature that allows you to run SQL queries on Amazon Redshift data with web services-based applications, such as AWS Lambda, Amazon SageMaker notebooks, and AWS Cloud9. The Data API does not require a persistent connection to your database, and it provides a secure HTTP endpoint and integration with AWS SDKs. You can use the endpoint to run SQL statements without managing connections. The Data API also supports both Amazon Redshift provisioned clusters and Redshift Serverless workgroups. The Data API is the best solution for running real-time queries on the financial data from within the trading application, as it has the least operational overhead compared to the other options.
Option A is not the best solution, as establishing WebSocket connections to Amazon Redshift would require more configuration and maintenance than using the Data API. WebSocket connections are also not supported by Amazon Redshift clusters or serverless workgroups.
Option C is not the best solution, as setting up JDBC connections to Amazon Redshift would also require more configuration and maintenance than using the Data API. JDBC connections are also not supported by Redshift Serverless workgroups.
Option D is not the best solution, as storing frequently accessed data in Amazon S3 and using Amazon S3 Select to run the queries would introduce additional latency and complexity than using the Data API. Amazon S3 Select is also not optimized for real-time queries, as it scans the entire object before returning the results.
References:
Using the Amazon Redshift Data API
Calling the Data API
Amazon Redshift Data API Reference
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide

NEW QUESTION # 154
A data engineer needs to schedule a workflow that runs a set of AWS Glue jobs every day. The data engineer does not require the Glue jobs to run or finish at a specific time.
Which solution will run the Glue jobs in the MOST cost-effective way?
  • A. Choose the STANDARD execution class in the Glue job properties.
  • B. Choose the FLEX execution class in the Glue job properties.
  • C. Choose the latest version in the GlueVersion field in the Glue job properties.
  • D. Use the Spot Instance type in Glue job properties.
Answer: B
Explanation:
The FLEX execution class allows you to run AWS Glue jobs on spare compute capacity instead of dedicated hardware. This can reduce the cost of running non-urgent or non-time sensitive data integration workloads, such as testing and one-time data loads. The FLEX execution class is available for AWS Glue 3.0 Spark jobs. The other options are not as cost-effective as FLEX, because they either use dedicated resources (STANDARD) or do not affect the cost at all (Spot Instance type and GlueVersion). Reference:
Introducing AWS Glue Flex jobs: Cost savings on ETL workloads
Serverless Data Integration - AWS Glue Pricing
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide (Chapter 5, page 125)

NEW QUESTION # 155
......
By reviewing these results, you will be able to know and remove your mistakes. These Data-Engineer-Associate practice exams are created as per the pattern of the AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) real examination. Therefore, AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) mock exam takers will experience the real exam environment. It will calm down their nerves so they can appear in the Data-Engineer-Associate final test without anxiety or fear.
Authorized Data-Engineer-Associate Test Dumps: https://www.prep4sureguide.com/Data-Engineer-Associate-prep4sure-exam-guide.html
As a widely recognized certification exam, Data-Engineer-Associate dumps torrent is becoming more and more popular, If you purchased our Authorized Data-Engineer-Associate Test Dumps - AWS Certified Data Engineer - Associate (DEA-C01) test questions and dumps before, and want to purchase other exam cram sheet we will give you discount, You can find our Data-Engineer-Associate exam guide PDF is valid certified materials based on the real test according to our free demo, and it is the best certified study guide website offering the real simulator questions and answers, Amazon Original Data-Engineer-Associate Questions It is definitely a meaningful investment for you and you cannot miss this opportunity to being outstanding.
Create focused, elegant experiences users will love, degree in computer science and mathematics from Colorado Mesa University, As a widely recognized certification exam, Data-Engineer-Associate Dumps Torrent is becoming more and more popular.
Get 365 Days Free Updates For Amazon Data-Engineer-Associate Dumps at 25% DiscountIf you purchased our AWS Certified Data Engineer - Associate (DEA-C01) test questions and dumps before, and want to purchase other exam cram sheet we will give you discount, You can find our Data-Engineer-Associate exam guide PDF is valid certified materials based on the real test according Data-Engineer-Associate to our free demo, and it is the best certified study guide website offering the real simulator questions and answers.
It is definitely a meaningful investment for you and you cannot miss this opportunity to being outstanding, Fast learning for our customers of Data-Engineer-Associate exam cram materials.
BTW, DOWNLOAD part of Prep4sureGuide Data-Engineer-Associate dumps from Cloud Storage: https://drive.google.com/open?id=1ru-qgs_3CXTxUAZcCOEz5zIs0RJMtuk3
https://www.prep4sures.top
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list