Charlotte Harris Charlotte Harris's Profile Page

Charlotte Harris Charlotte Harris

0 Course Enrolled • 0 Course Completed

Biography

Exam Data-Engineer-Associate Simulator & Data-Engineer-Associate Simulation Questions

P.S. Free 2026 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by Actualtests4sure: https://drive.google.com/open?id=1DjaQTbDqIbdws8B7Lxh0in4wRk11Zat-

Constant improvements are the inner requirement for one person. As one person you can’t be satisfied with your present situation and must keep the pace of the times. You should constantly update your stocks of knowledge and practical skills. So you should attend the certificate exams such as the test Data-Engineer-Associate Certification to improve yourself and buying our Data-Engineer-Associate study materials is your optimal choice. Our Data-Engineer-Associate study materials combine the real exam’s needs and the practicability of the knowledge.

For the complete AWS Certified Data Engineer - Associate (DEA-C01) exam preparation and success, the Actualtests4sure Data-Engineer-Associate exam practice test questions are the best choice. With the Amazon Data-Engineer-Associate Exam Questions, you will get everything that you need to learn, prepare and succeed in the AWS Certified Data Engineer - Associate (DEA-C01) certification exam. You must add Amazon Data-Engineer-Associate Exam Questions in your preparation and should not ignore them.

>> Exam Data-Engineer-Associate Simulator <<

What Makes Amazon Data-Engineer-Associate Exam Dumps Different?

On the pages of our Data-Engineer-Associate study tool, you can see the version of the product, the updated time, the quantity of the questions and answers, the characteristics and merits of the product, the price of our product, the discounts to the client, the details and the guarantee of our Data-Engineer-Associate study torrent, the methods to contact us, the evaluations of the client on our product, the related exams and other information about our AWS Certified Data Engineer - Associate (DEA-C01) test torrent. Thus you could decide whether it is worthy to buy our product or not after you understand the features of details of our product carefully on the pages of our Data-Engineer-Associate Study Tool on the website.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q129-Q134):

NEW QUESTION # 129
A company is migrating a legacy application to an Amazon S3 based data lake. A data engineer reviewed data that is associated with the legacy application. The data engineer found that the legacy data contained some duplicate information.
The data engineer must identify and remove duplicate information from the legacy application data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Write an AWS Glue extract, transform, and load (ETL) job. Import the Python dedupe library. Use the dedupe library to perform data deduplication.
B. Write a custom extract, transform, and load (ETL) job in Python. Use the DataFramedrop duplicatesf) function by importingthe Pandas library to perform data deduplication.
C. Write an AWS Glue extract, transform, and load (ETL) job. Usethe FindMatches machine learning(ML) transform to transform the data to perform data deduplication.
D. Write a custom extract, transform, and load (ETL) job in Python. Import the Python dedupe library. Use the dedupe library to perform data deduplication.

Answer: C

Explanation:
AWS Glue is a fully managed serverless ETL service that can handle data deduplication with minimal operational overhead. AWS Glue provides a built-in ML transform called FindMatches, which can automatically identify and group similar records in a dataset. FindMatches can also generate a primary key for each group of records and remove duplicates. FindMatches does not require any coding or prior ML experience, as it can learn from a sample of labeled data provided by the user. FindMatches can also scale to handle large datasets and optimize the cost and performance of the ETL job. References:
AWS Glue
FindMatches ML Transform
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide

NEW QUESTION # 130
A company has used an Amazon Redshift table that is named Orders for 6 months. The company performs weekly updates and deletes on the table. The table has an interleaved sort key on a column that contains AWS Regions.
The company wants to reclaim disk space so that the company will not run out of storage space. The company also wants to analyze the sort key column.
Which Amazon Redshift command will meet these requirements?

A. VACUUM FULL Orders
B. VACUUM REINDEX Orders
C. VACUUM DELETE ONLY Orders
D. VACUUM SORT ONLY Orders

Answer: B

Explanation:
Amazon Redshift is a fully managed, petabyte-scale data warehouse service that enables fast and cost-effective analysis of large volumes of data. Amazon Redshift uses columnar storage, compression, and zone maps to optimize the storage and performance of data. However, over time, as data is inserted, updated, or deleted, the physical storage of data can become fragmented, resulting in wasted disk space and degraded query performance. To address this issue, Amazon Redshift provides the VACUUM command, which reclaims disk space and resorts rows in either a specified table or all tables in the current schema1.
The VACUUM command has four options: FULL, DELETE ONLY, SORT ONLY, and REINDEX. The option that best meets the requirements of the question is VACUUM REINDEX, which re-sorts the rows in a table that has an interleaved sort key and rewrites the table to a new location on disk. An interleaved sort key is a type of sort key that gives equal weight to each column in the sort key, and stores the rows in a way that optimizes the performance of queries that filter by multiple columns in the sort key. However, as data is added or changed, the interleaved sort order can become skewed, resulting in suboptimal query performance. The VACUUM REINDEX option restores the optimal interleaved sort order and reclaims disk space by removing deleted rows. This option also analyzes the sort key column and updates the table statistics, which are used by the query optimizer to generate the most efficient query execution plan23.
The other options are not optimal for the following reasons:
A . VACUUM FULL Orders. This option reclaims disk space by removing deleted rows and resorts the entire table. However, this option is not suitable for tables that have an interleaved sort key, as it does not restore the optimal interleaved sort order. Moreover, this option is the most resource-intensive and time-consuming, as it rewrites the entire table to a new location on disk.
B . VACUUM DELETE ONLY Orders. This option reclaims disk space by removing deleted rows, but does not resort the table. This option is not suitable for tables that have any sort key, as it does not improve the query performance by restoring the sort order. Moreover, this option does not analyze the sort key column and update the table statistics.
D . VACUUM SORT ONLY Orders. This option resorts the entire table, but does not reclaim disk space by removing deleted rows. This option is not suitable for tables that have an interleaved sort key, as it does not restore the optimal interleaved sort order. Moreover, this option does not analyze the sort key column and update the table statistics.
Reference:
1: Amazon Redshift VACUUM
2: Amazon Redshift Interleaved Sorting
3: Amazon Redshift ANALYZE

NEW QUESTION # 131
A data engineer is configuring Amazon SageMaker Studio to use AWS Glue interactive sessions to prepare data for machine learning (ML) models.
The data engineer receives an access denied error when the data engineer tries to prepare the data by using SageMaker Studio.
Which change should the engineer make to gain access to SageMaker Studio?

A. Add a policy to the data engineer's IAM user that allows the sts:AddAssociation action for the AWS Glue and SageMaker service principals in the trust policy.
B. Add a policy to the data engineer's IAM user that includes the sts:AssumeRole action for the AWS Glue and SageMaker service principals in the trust policy.
C. Add the AmazonSageMakerFullAccess managed policy to the data engineer's IAM user.
D. Add the AWSGlueServiceRole managed policy to the data engineer's IAM user.

Answer: B

Explanation:
This solution meets the requirement of gaining access to SageMaker Studio to use AWS Glue interactive sessions. AWS Glue interactive sessions are a way to use AWS Glue DataBrew and AWS Glue Data Catalog from within SageMaker Studio. To use AWS Glue interactive sessions, the data engineer's IAM user needs to have permissions to assume the AWS Glue service role and the SageMaker execution role. By adding a policy to the data engineer's IAM user that includes the sts:AssumeRole action for the AWS Glue and SageMaker service principals in the trust policy, the data engineer can grant these permissions and avoid the access denied error. The other options are not sufficient or necessary to resolve the error. Reference:
Get started with data integration from Amazon S3 to Amazon Redshift using AWS Glue interactive sessions Troubleshoot Errors - Amazon SageMaker AccessDeniedException on sagemaker:CreateDomain in AWS SageMaker Studio, despite having SageMakerFullAccess

NEW QUESTION # 132
A company is building an inventory management system and an inventory reordering system to automatically reorder products. Both systems use Amazon Kinesis Data Streams. The inventory management system uses the Amazon Kinesis Producer Library (KPL) to publish data to a stream. The inventory reordering system uses the Amazon Kinesis Client Library (KCL) to consume data from the stream. The company configures the stream to scale up and down as needed.
Before the company deploys the systems to production, the company discovers that the inventory reordering system received duplicated data.
Which factors could have caused the reordering system to receive duplicated data? (Select TWO.)

A. There was a change in the number of shards, record processors, or both.
B. The max_records configuration property was set to a number that was too high.
C. The producer experienced network-related timeouts.
D. The AggregationEnabled configuration property was set to true.
E. The stream's value for the IteratorAgeMilliseconds metric was too high.

Answer: A,C

Explanation:
Problem Analysis:
The company uses Kinesis Data Streams for both inventory management and reordering.
The Kinesis Producer Library (KPL) publishes data, and the Kinesis Client Library (KCL) consumes data.
Duplicate records were observed in the inventory reordering system.
Key Considerations:
Kinesis streams are designed for durability but may produce duplicates under certain conditions.
Factors such as network timeouts, shard splits, or changes in record processors can cause duplication.
Solution Analysis:
Option A: Network-Related Timeouts
If the producer (KPL) experiences network timeouts, it retries data submission, potentially causing duplicates.
Option B: High IteratorAgeMilliseconds
High iterator age suggests delays in processing but does not directly cause duplication.
Option C: Changes in Shards or Processors
Changes in the number of shards or record processors can lead to re-processing of records, causing duplication.
Option D: AggregationEnabled Set to True
AggregationEnabled controls the aggregation of multiple records into one, but it does not cause duplication.
Option E: High max_records Value
A high max_records value increases batch size but does not lead to duplication.
Final Recommendation:
Network-related timeouts and changes in shards or processors are the most likely causes of duplicate data in this scenario.
Amazon Kinesis Data Streams Best Practices
Kinesis Producer Library (KPL) Overview
Kinesis Client Library (KCL) Overview

NEW QUESTION # 133
A data engineer has a one-time task to read data from objects that are in Apache Parquet format in an Amazon S3 bucket. The data engineer needs to query only one column of the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Confiqure an AWS Lambda function to load data from the S3 bucket into a pandas dataframe- Write a SQL SELECT statement on the dataframe to query the required column.
B. Prepare an AWS Glue DataBrew project to consume the S3 objects and to query the required column.
C. Use S3 Select to write a SQL SELECT statement to retrieve the required column from the S3 objects.
D. Run an AWS Glue crawler on the S3 objects. Use a SQL SELECT statement in Amazon Athena to query the required column.

Answer: C

Explanation:
Option B is the best solution to meet the requirements with the least operational overhead because S3 Select is a feature that allows you to retrieve only a subset of data from an S3 object by using simple SQL expressions.
S3 Select works on objects stored in CSV, JSON, or Parquet format. By using S3 Select, you can avoid the need to download and process the entire S3 object, which reduces the amount of data transferred and the computation time. S3 Select is also easy to use and does not require any additional services or resources.
Option A is not a good solution because it involves writing custom code and configuring an AWS Lambda function to load data from the S3 bucket into a pandas dataframe and query the required column. This option adds complexity and latency to the data retrieval process and requires additional resources and configuration.
Moreover, AWS Lambda has limitations on the execution time, memory, and concurrency, which may affect the performance and reliability of the data retrieval process.
Option C is not a good solution because it involves creating and running an AWS Glue DataBrew project to consume the S3 objects and query the required column. AWS Glue DataBrew is a visual data preparation tool that allows you to clean, normalize, and transform data without writing code. However, in this scenario, the data is already in Parquet format, which is a columnar storage format that is optimized for analytics.
Therefore, there is no need to use AWS Glue DataBrew to prepare the data. Moreover, AWS Glue DataBrew adds extra time and cost to the data retrieval process and requires additional resources and configuration.
Option D is not a good solution because it involves running an AWS Glue crawler on the S3 objects and using a SQL SELECT statement in Amazon Athena to query the required column. An AWS Glue crawler is a service that can scan data sources and create metadata tables in the AWS Glue Data Catalog. The Data Catalog is a central repository that stores information about the data sources, such as schema, format, and location. Amazon Athena is a serverless interactive query service that allows you to analyze data in S3 using standard SQL. However, in this scenario, the schema and format of the data are already known and fixed, so there is no need to run a crawler to discover them. Moreover, running a crawler and using Amazon Athena adds extra time and cost to the data retrieval process and requires additional services and configuration.
:
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide
S3 Select and Glacier Select - Amazon Simple Storage Service
AWS Lambda - FAQs
What Is AWS Glue DataBrew? - AWS Glue DataBrew
Populating the AWS Glue Data Catalog - AWS Glue
What is Amazon Athena? - Amazon Athena

NEW QUESTION # 134
......

We have experienced education technicians and stable first-hand information to provide you with high quality & efficient Data-Engineer-Associate training dumps. If you are still worried about your exam, our exam dumps may be your good choice. Our Data-Engineer-Associate training dumps cover nearly 85% real test materials so that if you master our dumps questions and answers you can clear exams successfully. Don't worry over trifles. If you purchase our Data-Engineer-Associate training dumps you can spend your time on more significative work.

Data-Engineer-Associate Simulation Questions: https://www.actualtests4sure.com/Data-Engineer-Associate-test-questions.html

Amazon Exam Data-Engineer-Associate Simulator So you do not need to worry about the quality, Amazon Exam Data-Engineer-Associate Simulator Most Young ambitious elites are determined to win, With Data-Engineer-Associate exam questions, your teacher is no longer one person, but a large team of experts who can help you solve all the problems you have encountered in the learning process, Amazon Exam Data-Engineer-Associate Simulator The debit card is only available for only a very few countries.

And since every step required the use of specialized film, there were a lot of Data-Engineer-Associate trips to a darkroom to develop the results in chemical baths, Lerner Professor of Computer Science and Electrical Engineering at Stanford University.

Free PDF The Best Amazon - Exam Data-Engineer-Associate Simulator

So you do not need to worry about the quality, Most Young ambitious elites are determined to win, With Data-Engineer-Associate Exam Questions, your teacher is no longer one person, but a large team of Data-Engineer-Associate Valid Test Cram experts who can help you solve all the problems you have encountered in the learning process.

The debit card is only available for only a very few countries, There are unconquerable obstacles ahead of us if you get help from our Data-Engineer-Associate exam questions.

DOWNLOAD the newest Actualtests4sure Data-Engineer-Associate PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1DjaQTbDqIbdws8B7Lxh0in4wRk11Zat-

Charlotte Harris Charlotte Harris

Biography

Quick Links

Main Menu