LATEST DATA-ENGINEER-ASSOCIATE EXAM ANSWERS, NEW DATA-ENGINEER-ASSOCIATE EXAM BOOTCAMP

Latest Data-Engineer-Associate Exam Answers, New Data-Engineer-Associate Exam Bootcamp

Latest Data-Engineer-Associate Exam Answers, New Data-Engineer-Associate Exam Bootcamp

Blog Article

Tags: Latest Data-Engineer-Associate Exam Answers, New Data-Engineer-Associate Exam Bootcamp, Reliable Data-Engineer-Associate Practice Materials, Latest Data-Engineer-Associate Exam Pass4sure, Data-Engineer-Associate Test Question

P.S. Free 2025 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by Fast2test: https://drive.google.com/open?id=1V4zviAmIy82-TVM8dyoANEKuNKM08Ymk

Our AWS Certified Data Engineer - Associate (DEA-C01) torrent prep can apply to any learner whether students or working staff, novices or practitioners with years of experience. To simplify complex concepts and add examples, simulations, and diagrams to explain anything that might be difficult to understand, studies can easily navigate learning and become the master of learning. Our Data-Engineer-Associate exam questions are committed to instill more important information with fewer questions and answers, so you can learn easily and efficiently in this process. In the meantime, our service allows users to use more convenient and more in line with the user's operating habits of Data-Engineer-Associate Test Guide, so you will not feel tired and enjoy your study. With timing and practice exam features, studies can experience the atmosphere of the exam and so you can prepare for the next exam better.

Here our Data-Engineer-Associate exam braindumps are tailor-designed for you. Unlike many other learning materials, our AWS Certified Data Engineer - Associate (DEA-C01) guide torrent is specially designed to help people pass the exam in a more productive and time-saving way, and such an efficient feature makes it a wonderful assistant in personal achievement as people have less spare time nowadays. On the other hand, Data-Engineer-Associate Exam Braindumps are aimed to help users make best use of their sporadic time by adopting flexible and safe study access.

>> Latest Data-Engineer-Associate Exam Answers <<

New Data-Engineer-Associate Exam Bootcamp | Reliable Data-Engineer-Associate Practice Materials

You will need to pass the AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) exam to achieve the AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) certification. Due to extremely high competition, passing the Amazon Data-Engineer-Associate exam is not easy; however, possible. You can use Fast2test products to pass the Data-Engineer-Associate Exam on the first attempt. The AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the Amazon Data-Engineer-Associate exam on the first attempt.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q174-Q179):

NEW QUESTION # 174
A company has a production AWS account that runs company workloads. The company's security team created a security AWS account to store and analyze security logs from the production AWS account. The security logs in the production AWS account are stored in Amazon CloudWatch Logs.
The company needs to use Amazon Kinesis Data Streams to deliver the security logs to the security AWS account.
Which solution will meet these requirements?

  • A. Create a destination data stream in the security AWS account. Create an IAM role and a trust policy to grant CloudWatch Logs the permission to put data into the stream. Create a subscription filter in the security AWS account.
  • B. Create a destination data stream in the security AWS account. Create an IAM role and a trust policy to grant CloudWatch Logs the permission to put data into the stream. Create a subscription filter in the production AWS account.
  • C. Create a destination data stream in the production AWS account. In the security AWS account, create an IAM role that has cross-account permissions to Kinesis Data Streams in the production AWS account.
  • D. Create a destination data stream in the production AWS account. In the production AWS account, create an IAM role that has cross-account permissions to Kinesis Data Streams in the security AWS account.

Answer: B

Explanation:
Amazon Kinesis Data Streams is a service that enables you to collect, process, and analyze real-time streaming data. You can use Kinesis Data Streams to ingest data from various sources, such as Amazon CloudWatch Logs, and deliver it to different destinations, such as Amazon S3 or Amazon Redshift. To use Kinesis Data Streams to deliver the security logs from the production AWS account to the security AWS account, you need to create a destination data stream in the security AWS account. This data stream will receive the log data from the CloudWatch Logs service in the production AWS account. To enable this cross-account data delivery, you need to create an IAM role and a trust policy in the security AWS account. The IAM role defines the permissions that the CloudWatch Logs service needs to put data into the destination data stream. The trust policy allows the production AWS account to assume the IAM role. Finally, you need to create a subscription filter in the production AWS account. A subscription filter defines the pattern to match log events and the destination to send the matching events. In this case, the destination is the destination data stream in the security AWS account. This solution meets the requirements of using Kinesis Data Streams to deliver the security logs to the security AWS account. The other options are either not possible or not optimal. You cannot create a destination data stream in the production AWS account, as this would not deliver the data to the security AWS account. You cannot create a subscription filter in the security AWS account, as this would not capture the log events from the production AWS account. References:
Using Amazon Kinesis Data Streams with Amazon CloudWatch Logs
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 3: Data Ingestion and Transformation, Section 3.3: Amazon Kinesis Data Streams


NEW QUESTION # 175
A company uploads .csv files to an Amazon S3 bucket. The company's data platform team has set up an AWS Glue crawler to perform data discovery and to create the tables and schemas.
An AWS Glue job writes processed data from the tables to an Amazon Redshift database. The AWS Glue job handles column mapping and creates the Amazon Redshift tables in the Redshift database appropriately.
If the company reruns the AWS Glue job for any reason, duplicate records are introduced into the Amazon Redshift tables. The company needs a solution that will update the Redshift tables without duplicates.
Which solution will meet these requirements?

  • A. Modify the AWS Glue job to copy the rows into a staging Redshift table. Add SQL commands to update the existing rows with new values from the staging Redshift table.
  • B. Use Apache Spark's DataFrame dropDuplicates() API to eliminate duplicates. Write the data to the Redshift tables.
  • C. Modify the AWS Glue job to load the previously inserted data into a MySQL database. Perform an upsert operation in the MySQL database. Copy the results to the Amazon Redshift tables.
  • D. Use the AWS Glue ResolveChoice built-in transform to select the value of the column from the most recent record.

Answer: A

Explanation:
To avoid duplicate records in Amazon Redshift, the most effective solution is to perform the ETL in a way that first loads the data into a staging table and then uses SQL commands like MERGE or UPDATE to insert new records and update existing records without introducing duplicates.
Using Staging Tables in Redshift:
The AWS Glue job can write data to a staging table in Redshift. Once the data is loaded, SQL commands can be executed to compare the staging data with the target table and update or insert records appropriately. This ensures no duplicates are introduced during re-runs of the Glue job.
Reference:
Alternatives Considered:
B (MySQL upsert): This introduces unnecessary complexity by involving another database (MySQL).
C (Spark dropDuplicates): While Spark can eliminate duplicates, handling duplicates at the Redshift level with a staging table is a more reliable and Redshift-native solution.
D (AWS Glue ResolveChoice): The ResolveChoice transform in Glue helps with column conflicts but does not handle record-level duplicates effectively.
Amazon Redshift MERGE Statements
Staging Tables in Amazon Redshift


NEW QUESTION # 176
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. Use the AWS Glue API to manually update the Data Catalog.
  • B. Run an MSCK REPAIR TABLE command in Athena.
  • C. Schedule an AWS Glue crawler to periodically update the Data Catalog.
  • D. Run a REFRESH TABLE command in Athena.

Answer: C

Explanation:
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 # 177
A company has multiple applications that use datasets that are stored in an Amazon S3 bucket. The company has an ecommerce application that generates a dataset that contains personally identifiable information (PII).
The company has an internal analytics application that does not require access to the PII.
To comply with regulations, the company must not share PII unnecessarily. A data engineer needs to implement a solution that with redact PII dynamically, based on the needs of each application that accesses the dataset.
Which solution will meet the requirements with the LEAST operational overhead?

  • A. Use AWS Glue to transform the data for each application. Create multiple copies of the dataset. Give each dataset copy the appropriate level of redaction for the needs of the application that accesses the copy.
  • B. Create an S3 bucket policy to limit the access each application has. Create multiple copies of the dataset.
    Give each dataset copy the appropriate level of redaction for the needs of the application that accesses the copy.
  • C. Create an API Gateway endpoint that has custom authorizers. Use the API Gateway endpoint to read data from the S3 bucket. Initiate a REST API call to dynamically redact PII based on the needs of each application that accesses the data.
  • D. Create an S3 Object Lambda endpoint. Use the S3 Object Lambda endpoint to read data from the S3 bucket. Implement redaction logic within an S3 Object Lambda function to dynamically redact PII based on the needs of each application that accesses the data.

Answer: D

Explanation:
Option B is the best solution to meet the requirements with the least operational overhead because S3 Object Lambda is a feature that allows you to add your own code to process data retrieved from S3 before returning it to an application. S3 Object Lambda works with S3 GET requests and can modify both the object metadata and the object data. By using S3 Object Lambda, you can implement redaction logic within an S3 Object Lambda function to dynamically redact PII based on the needs of each application that accesses the data. This way, you can avoid creating and maintaining multiple copies of the dataset with different levels of redaction.
Option A is not a good solution because it involves creating and managing multiple copies of the dataset with different levels of redaction for each application. This option adds complexity and storage cost to the data protection process and requires additional resources and configuration. Moreover, S3 bucket policies cannot enforce fine-grained data access control at the row and column level, so they are not sufficient to redact PII.
Option C is not a good solution because it involves using AWS Glue to transform the data for each application. AWS Glue is a fully managed service that can extract, transform, and load (ETL) data from various sources to various destinations, including S3. AWS Glue can also convert data to different formats, such as Parquet, which is a columnar storage format that is optimized for analytics. However, in this scenario, using AWS Glue to redact PII is not the best option because it requires creating and maintaining multiple copies of the dataset with different levels of redaction for each application. This option also adds extra time and cost to the data protection process and requires additional resources and configuration.
Option D is not a good solution because it involves creating and configuring an API Gateway endpoint that has custom authorizers. API Gateway is a service that allows youto create, publish, maintain, monitor, and secure APIs at any scale. API Gateway can also integrate with other AWS services, such as Lambda, to provide custom logic for processing requests. However, in this scenario, using API Gateway to redact PII is not the best option because it requires writing and maintaining custom code and configuration for the API endpoint, the custom authorizers, and the REST API call. This option also adds complexity and latency to the data protection process and requires additional resources and configuration.
References:
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide
Introducing Amazon S3 Object Lambda - Use Your Code to Process Data as It Is Being Retrieved from S3 Using Bucket Policies and User Policies - Amazon Simple Storage Service AWS Glue Documentation What is Amazon API Gateway? - Amazon API Gateway


NEW QUESTION # 178
A company currently stores all of its data in Amazon S3 by using the S3 Standard storage class.
A data engineer examined data access patterns to identify trends. During the first 6 months, most data files are accessed several times each day. Between 6 months and 2 years, most data files are accessed once or twice each month. After 2 years, data files are accessed only once or twice each year.
The data engineer needs to use an S3 Lifecycle policy to develop new data storage rules. The new storage solution must continue to provide high availability.
Which solution will meet these requirements in the MOST cost-effective way?

  • A. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.
  • B. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.
  • C. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.
  • D. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.

Answer: D

Explanation:
To achieve the most cost-effective storage solution, the data engineer needs to use an S3 Lifecycle policy that transitions objects to lower-cost storage classes based on their access patterns, and deletes them when they are no longer needed. The storage classes should also provide high availability, which means they should be resilient to the loss of data in a single Availability Zone1. Therefore, the solution must include the following steps:
* Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. S3 Standard-IA is designed for data that is accessed less frequently, but requires rapid access when needed. It offers the same high durability, throughput, and low latency as S3 Standard, but with a lower storage cost and a retrieval fee2. Therefore, it is suitable for data files that are accessed once or twice each month. S3 Standard-IA also provides high availability, as it stores data redundantly across multiple Availability Zones1.
* Transfer objects to S3 Glacier Deep Archive after 2 years. S3 Glacier Deep Archive is the lowest-cost storage class that offers secure and durable storage for data that is rarely accessed and can tolerate a 12- hour retrieval time. It is ideal for long-term archiving and digital preservation3. Therefore, it is suitable for data files that are accessed only once or twice each year. S3 Glacier Deep Archive also provides high availability, as it stores data across at least three geographically dispersed Availability Zones1.
* Delete objects when they are no longer needed. The data engineer can specify an expiration action in the S3 Lifecycle policy to delete objects after a certain period of time. This will reduce the storage cost and comply with any data retention policies.
Option C is the only solution that includes all these steps. Therefore, option C is the correct answer.
Option A is incorrect because it transitions objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after
6 months. S3 One Zone-IA is similar to S3 Standard-IA, but it stores data in a single Availability Zone. This means it has a lower availability and durability than S3 Standard-IA, and it is not resilient to the loss of data in a single Availability Zone1. Therefore, it does not provide high availability as required.
Option B is incorrect because it transfers objects to S3 Glacier Flexible Retrieval after 2 years. S3 Glacier Flexible Retrieval is a storage class that offers secure and durable storage for data that is accessed infrequently and can tolerate a retrieval time of minutes to hours. It is more expensive than S3 Glacier Deep Archive, and it is not suitable for data that is accessed only once or twice each year3. Therefore, it is not the most cost-effective option.
Option D is incorrect because it combines the errors of option A and B. It transitions objects to S3 One Zone- IA after 6 months, which does not provide high availability, and it transfers objects to S3 Glacier Flexible Retrieval after 2 years, which is not the most cost-effective option.
:
1: Amazon S3 storage classes - Amazon Simple Storage Service
2: Amazon S3 Standard-Infrequent Access (S3 Standard-IA) - Amazon Simple Storage Service
3: Amazon S3 Glacier and S3 Glacier Deep Archive - Amazon Simple Storage Service
[4]: Expiring objects - Amazon Simple Storage Service
[5]: Managing your storage lifecycle - Amazon Simple Storage Service
[6]: Examples of S3 Lifecycle configuration - Amazon Simple Storage Service
[7]: Amazon S3 Lifecycle further optimizes storage cost savings with new features - What's New with AWS


NEW QUESTION # 179
......

This is a wise choice, after using our Data-Engineer-Associate training materials, you will realize your dream of a promotion because you deserve these reports and your efforts will be your best proof. Therefore, when you are ready to review the exam, you can fully trust our products, choose our learning materials. If you don't want to miss out on such a good opportunity, buy it quickly. Thus, users do not have to worry about such trivial issues as typesetting and proofreading, just focus on spending the most practice to use our Data-Engineer-Associate Learning Materials. After careful preparation, I believe you will be able to pass the exam.

New Data-Engineer-Associate Exam Bootcamp: https://www.fast2test.com/Data-Engineer-Associate-premium-file.html

Secondly, we are the leading position in this area and we are famous for high quality of Data-Engineer-Associate dumps torrent materials, Therefore, try Fast2test Amazon Data-Engineer-Associate practice test dumps, After the purchase, you will get Data-Engineer-Associate dumps' latest updates for up to 90 days as soon as they are available, Here comes the best solution offered by Fast2test New Data-Engineer-Associate Exam Bootcamp.com.

Unfortunately, it is very hard to monitor stockbrokers Data-Engineer-Associate who are executing market orders for customers, especially, as often happens, when the stockbroker is filling the customer's Latest Data-Engineer-Associate Exam Answers order from its own inventory rather than going out and buying it in the market.

Quiz 2025 Amazon Data-Engineer-Associate: AWS Certified Data Engineer - Associate (DEA-C01) Authoritative Latest Exam Answers

Rather than a linear progression often dishonest) Latest Data-Engineer-Associate Exam Answers of earned value, a healthy project will exhibit an honest sequence of progressionsand digressions as they resolve uncertainties, Latest Data-Engineer-Associate Exam Pass4sure refactor architectures and scope, and converge on an economically governed solution.

Secondly, we are the leading position in this area and we are famous for high quality of Data-Engineer-Associate Dumps Torrent materials, Therefore, try Fast2test Amazon Data-Engineer-Associate practice test dumps.

After the purchase, you will get Data-Engineer-Associate dumps' latest updates for up to 90 days as soon as they are available, Here comes the best solution offered by Fast2test.com.

We have professional technicians to examine the website at times, so that we can offer you a clean and safe shopping environment for you if you choose the Data-Engineer-Associate study materials of us.

P.S. Free & New Data-Engineer-Associate dumps are available on Google Drive shared by Fast2test: https://drive.google.com/open?id=1V4zviAmIy82-TVM8dyoANEKuNKM08Ymk

Report this page