100% Pass Quiz Amazon - Trustable Data-Engineer-Associate - Latest AWS Certified Data Engineer - Associate (DEA-C01) Braindumps Pdf

P.S. Free & New Data-Engineer-Associate dumps are available on Google Drive shared by DumpExam: https://drive.google.com/open?id=19ktoVEkwk3LF0RD9t0VPd4U072DippUr

The great advantage of the APP online version is if only the clients use our Data-Engineer-Associate certification guide in the environment with the internet for the first time on any electronic equipment they can use our Data-Engineer-Associate test materials offline later. So the clients can carry about their electronic equipment available on their hands and when they want to use them to learn our qualification test guide. So the clients can break through the limits of the time and environment and learn our Data-Engineer-Associate Certification guide at their own wills. This is an outstanding merit of the APP online version.

To help you learn with the newest content for the Data-Engineer-Associate preparation materials, our experts check the updates status every day, and their diligent works as well as professional attitude bring high quality for our Data-Engineer-Associate practice materials. You may doubtful if you are newbie for our Data-Engineer-Associate training engine, free demos are provided for your reference. The free demo of Data-Engineer-Associate exam questions contains a few of the real practice questions, and you will love it as long as you download and check it.

>> Latest Data-Engineer-Associate Braindumps Pdf <<

Latest Latest Data-Engineer-Associate Braindumps Pdf & Latest updated Reliable Data-Engineer-Associate Study Guide & Trustable Valid Braindumps Data-Engineer-Associate Ppt

Why we can produce the best Data-Engineer-Associate exam prep and can get so much praise in the international market. On the one hand, the software version can simulate the real Data-Engineer-Associate examination for you and you can download our study materials on more than one computer with the software version of our study materials. On the other hand, you can finish practicing all the contents in our Data-Engineer-Associate practice materials within 20 to 30 hours. So what are you waiting for? Just rush to buy our Data-Engineer-Associate exam questions!

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q71-Q76):

NEW QUESTION # 71
A company stores customer records in Amazon S3. The company must not delete or modify the customer record data for 7 years after each record is created. The root user also must not have the ability to delete or modify the data.
A data engineer wants to use S3 Object Lock to secure the data.
Which solution will meet these requirements?

A. Enable governance mode on the S3 bucket. Use a default retention period of 7 years.
B. Set the retention period for individual objects in the S3 bucket to 7 years.
C. Enable compliance mode on the S3 bucket. Use a default retention period of 7 years.
D. Place a legal hold on individual objects in the S3 bucket. Set the retention period to 7 years.

Answer: C

Explanation:
The company wants to ensure that no customer records are deleted or modified for 7 years, and even the root user should not have the ability to change the data. S3 Object Lock in Compliance Mode is the correct solution for this scenario.
* Option B: Enable compliance mode on the S3 bucket. Use a default retention period of 7 years.In Compliance Mode, even the root user cannot delete or modify locked objects during the retention period. This ensures that the data is protected for the entire 7-year duration as required. Compliance mode is stricter than governance mode and prevents all forms of alteration, even by privileged users.
Option A (Governance Mode) still allows certain privileged users (like the root user) to bypass the lock, which does not meet the company's requirement. Option C (legal hold) and Option D (setting retention per object) do not fully address the requirement to block root user modifications.
References:
* Amazon S3 Object Lock Documentation

NEW QUESTION # 72
A data engineer needs to securely transfer 5 TB of data from an on-premises data center to an Amazon S3 bucket. Approximately 5% of the data changes every day. Updates to the data need to be regularlyproliferated to the S3 bucket. The data includes files that are in multiple formats. The data engineer needs to automate the transfer process and must schedule the process to run periodically.
Which AWS service should the data engineer use to transfer the data in the MOST operationally efficient way?

A. Amazon S3 Transfer Acceleration
B. AWS DataSync
C. AWS Direct Connect
D. AWS Glue

Answer: B

Explanation:
AWS DataSync is an online data movement and discovery service that simplifies and accelerates data migrations to AWS as well as moving data to and from on-premises storage, edge locations, other cloud providers, and AWS Storage services1. AWS DataSync can copy data to and from various sources and targets, including Amazon S3, and handle files in multiple formats. AWS DataSync also supports incremental transfers, meaning it can detect and copy only the changes to the data, reducing the amount of data transferred and improving the performance. AWS DataSync can automate and schedule the transfer process using triggers, and monitor the progress and status of the transfers using CloudWatch metrics and events1.
AWS DataSync is the most operationally efficient way to transfer the data in this scenario, as it meets all the requirements and offers a serverless and scalable solution. AWS Glue, AWS Direct Connect, and Amazon S3 Transfer Acceleration are not the best options for this scenario, as they have some limitations or drawbacks compared to AWS DataSync. AWS Glue is a serverless ETL service that can extract, transform, and load data from various sources to various targets, including Amazon S32. However, AWS Glue is not designed for large-scale data transfers, as it has some quotas and limits on the number and size of files it can process3.
AWS Glue also does not support incremental transfers, meaning it would have to copy the entire data set every time, which would be inefficient and costly.
AWS Direct Connect is a service that establishes a dedicated network connection between your on-premises data center and AWS, bypassing the public internet and improving the bandwidth and performance of the data transfer. However, AWS Direct Connect is not a data transfer service by itself, as it requires additional services or tools to copy the data, such as AWS DataSync, AWS Storage Gateway, or AWS CLI. AWS Direct Connect also has some hardware and location requirements, and charges you for the port hours and data transfer out of AWS.
Amazon S3 Transfer Acceleration is a feature that enables faster data transfers to Amazon S3 over long distances, using the AWS edge locations and optimized network paths. However, Amazon S3 Transfer Acceleration is not a data transfer service by itself, as it requires additional services or tools to copy the data, such as AWS CLI, AWS SDK, or third-party software. Amazon S3 Transfer Acceleration also charges you for the data transferred over the accelerated endpoints, and does not guarantee a performance improvement for every transfer, as it depends on various factors such as the network conditions, the distance, and the object size. References:
AWS DataSync
AWS Glue
AWS Glue quotas and limits
[AWS Direct Connect]
[Data transfer options for AWS Direct Connect]
[Amazon S3 Transfer Acceleration]
[Using Amazon S3 Transfer Acceleration]

NEW QUESTION # 73
A company implements a data mesh that has a central governance account. The company needs to catalog all data in the governance account. The governance account uses AWS Lake Formation to centrally share data and grant access permissions.
The company has created a new data product that includes a group of Amazon Redshift Serverless tables. A data engineer needs to share the data product with a marketing team. The marketing team must have access to only a subset of columns. The data engineer needs to share the same data product with a compliance team. The compliance team must have access to a different subset of columns than the marketing team needs access to.
Which combination of steps should the data engineer take to meet these requirements? (Select TWO.)

A. Share the Amazon Redshift data share to the Amazon Redshift Serverless workgroup in the marketing team's account.
B. Share the Amazon Redshift data share to the Lake Formation catalog in the governance account.
C. Create views of the tables that need to be shared. Include only the required columns.
D. Create an Amazon Redshift managed VPC endpoint in the marketing team's account. Grant the marketing team access to the views.
E. Create an Amazon Redshift data than that includes the tables that need to be shared.

Answer: A,C

Explanation:
The company is using a data mesh architecture with AWS Lake Formation for governance and needs to share specific subsets of data with different teams (marketing and compliance) using Amazon Redshift Serverless.
Option A: Create views of the tables that need to be shared. Include only the required columns.
Creating views in Amazon Redshift that include only the necessary columns allows for fine-grained access control. This method ensures that each team has access to only the data they are authorized to view.
Option E: Share the Amazon Redshift data share to the Amazon Redshift Serverless workgroup in the marketing team's account.
Amazon Redshift data sharing enables live access to data across Redshift clusters or Serverless workgroups. By sharing data with specific workgroups, you can ensure that the marketing team and compliance team each access the relevant subset of data based on the views created.
Option B (creating a Redshift data share) is close but does not address the fine-grained column-level access.
Option C (creating a managed VPC endpoint) is unnecessary for sharing data with specific teams.
Option D (sharing with the Lake Formation catalog) is incorrect because Redshift data shares do not integrate directly with Lake Formation catalogs; they are specific to Redshift workgroups.
Reference:
Amazon Redshift Data Sharing
AWS Lake Formation Documentation

NEW QUESTION # 74
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 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.
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 security AWS account.
C. 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.
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: C

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 # 75
A company has a data warehouse in Amazon Redshift. To comply with security regulations, the company needs to log and store all user activities and connection activities for the data warehouse.
Which solution will meet these requirements?

A. Create an Amazon S3 bucket. Enable logging for the Amazon Redshift cluster. Specify the S3 bucket in the logging configuration to store the logs.
B. Create an Amazon Elastic Block Store (Amazon EBS) volume. Enable logging for the Amazon Redshift cluster. Write the logs to the EBS volume.
C. Create an Amazon Elastic File System (Amazon EFS) file system. Enable logging for the Amazon Redshift cluster. Write logs to the EFS file system.
D. Create an Amazon Aurora MySQL database. Enable logging for the Amazon Redshift cluster. Write the logs to a table in the Aurora MySQL database.

Answer: A

Explanation:
* Problem Analysis:
* The company must log alluser activitiesandconnection activitiesin Amazon Redshift for security compliance.
* Key Considerations:
* Redshift supportsaudit logging, which can be configured to write logs to an S3 bucket.
* S3 provides durable, scalable, and cost-effective storage for logs.
* Solution Analysis:
* Option A: S3 for Logging
* Standard approach for storing Redshift logs.
* Easy to set up and manage with minimal cost.
* Option B: Amazon EFS
* EFS is unnecessary for this use case and less cost-efficient than S3.
* Option C: Aurora MySQL
* Using a database to store logs increases complexity and cost.
* Option D: EBS Volume
* EBS is not a scalable option for log storage compared to S3.
* Final Recommendation:
* EnableRedshift audit loggingand specify anS3 bucketas the destination.
:
Amazon Redshift Audit Logging
Storing Logs in Amazon S3

NEW QUESTION # 76
......

DumpExam's Amazon Data-Engineer-Associate exam training materials are the necessities of each of candidates who participating in the IT certification. With this training material, you can do a full exam preparation. So that you will have the confidence to win the exam. DumpExam's Amazon Data-Engineer-Associate Exam Training materials are highly targeted. Not every training materials on the Internet have such high quality. Only DumpExam could be so perfect.

Reliable Data-Engineer-Associate Study Guide: https://www.dumpexam.com/Data-Engineer-Associate-valid-torrent.html

Amazon Latest Data-Engineer-Associate Braindumps Pdf Other companies can imitate us but can't surpass us, Many people want to pass the Data-Engineer-Associate actual test at one time with high score, And our Data-Engineer-Associate exam questions are easy to understand and they are popular to be sold to all over the world, After choosing Data-Engineer-Associate training engine, you will surely feel very pleasantly surprised, Amazon Latest Data-Engineer-Associate Braindumps Pdf The different versions of our dumps can give you different experience.

The value returned is dependent on the purpose of the function and the arguments, Data-Engineer-Associate if any, passed to it, AWS Certified Data Engineer - Associate (DEA-C01) training pdf material ensures you help obtain a certificate which help you get promoted and ensure an admired position.

Unlock Your Potential With Real Amazon Data-Engineer-Associate Exam Dumps

Other companies can imitate us but can't surpass us, Many people want to pass the Data-Engineer-Associate Actual Test at one time with high score, And our Data-Engineer-Associate exam questions are easy to understand and they are popular to be sold to all over the world.

After choosing Data-Engineer-Associate training engine, you will surely feel very pleasantly surprised, The different versions of our dumps can give you different experience.

P.S. Free 2025 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by DumpExam: https://drive.google.com/open?id=19ktoVEkwk3LF0RD9t0VPd4U072DippUr