P.S. Free 2026 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by PassExamDumps: https://drive.google.com/open?id=19nQ8dglkz71KtwQAGYyEop3Loz9XUiTZ
Our Data-Engineer-Associate exam questions are easy to purchase. You can just add it to the cart and pay for it with your credit card or PAYPAL. And we will send it to you in 5 to 10 minutes after your paied successfully. If we have a new version of the Data-Engineer-Associate Study Material, we will send an E-mail to you. Whenever you have questions about our Data-Engineer-Associate training braindumps, you are welcome to contact us via E-mail. We sincerely offer you 24/7 online service.
| Section | Weight | Objectives |
|---|---|---|
| Data Security and Governance | 18% | - Apply governance and compliance best practices - Implement data security controls |
| Data Ingestion and Transformation | 34% | - Build and manage data pipelines - Ingest and transform data using AWS services |
| Data Store Management | 26% | - Select appropriate data storage solutions - Optimize storage performance and cost |
| Data Operations and Support | 22% | - Monitor and maintain data pipelines - Troubleshoot data workflow issues |
>> Clear Data-Engineer-Associate Exam <<
Data-Engineer-Associate study guide can bring you more than you wanted. After you have used our products, you will certainly have your own experience. Now let's take a look at why a worthy product of your choice is our Data-Engineer-Associate actual exam. Firstly, with a high pass rate of 98% to 100%, you will get the pass guarantee form our Data-Engineer-Associate Practice Engine. Secondly, the price of our Data-Engineer-Associate learning guide is quite favourable than the other websites'.
NEW QUESTION # 124
A company ingests data from multiple data sources and stores the data in an Amazon S3 bucket. An AWS Glue extract, transform, and load (ETL) job transforms the data and writes the transformed data to an Amazon S3 based data lake. The company uses Amazon Athena to query the data that is in the data lake.
The company needs to identify matching records even when the records do not have a common unique identifier.
Which solution will meet this requirement?
Answer: A
Explanation:
FindMatches is a transform available in AWS Lake Formation that uses ML to discover duplicate records or related records that might not have a common unique identifier.
It can be integrated into an AWS Glue ETL job to perform deduplication or matching tasks.
FindMatches is highly effective in scenarios where records do not share a key, such as customer records from different sources that need to be merged or reconciled.
Explanation:
The problem described requires identifying matching records even when there is no unique identifier. AWS Lake Formation FindMatches is designed for this purpose. It uses machine learning (ML) to deduplicate and find matching records in datasets that do not share a common identifier.
Reference:
Alternatives Considered:
A (Amazon Made pattern matching): Amazon Made is not a service in AWS, and pattern matching typically refers to regular expressions, which are not suitable for deduplication without a common identifier.
B (AWS Glue PySpark Filter class): PySpark's Filter class can help refine datasets, but it does not offer the ML-based matching capabilities required to find matches between records without unique identifiers.
C (Partition tables on a unique identifier): Partitioning requires a unique identifier, which the question states is unavailable.
AWS Glue Documentation on Lake Formation FindMatches
FindMatches in AWS Lake Formation
NEW QUESTION # 125
A retail company stores data from a product lifecycle management (PLM) application in an on-premises MySQL database. The PLM application frequently updates the database when transactions occur.
The company wants to gather insights from the PLM application in near real time. The company wants to integrate the insights with other business datasets and to analyze the combined dataset by using an Amazon Redshift data warehouse.
The company has already established an AWS Direct Connect connection between the on-premises infrastructure and AWS.
Which solution will meet these requirements with the LEAST development effort?
Answer: A
Explanation:
* Problem Analysis:
* The company needs near real-time replication of MySQL updates to Amazon Redshift.
* Minimal development effort is required for this solution.
* Key Considerations:
* AWSDMSprovides afull load + CDC (Change Data Capture)mode for continuous replication of database changes.
* DMS integrates natively with both MySQL and Redshift, simplifying setup.
* Solution Analysis:
* Option A: AWS Glue Job
* Glue is batch-oriented and does not support near real-time replication.
* Option B: DMS with Full Load + CDC
* Efficiently handles initial database load and continuous updates.
* Requires minimal setup and operational overhead.
* Option C: AppFlow SDK
* AppFlow is not designed for database replication. Custom connectors increase development effort.
* Option D: DataSync
* DataSync is for file synchronization and not suitable for database updates.
* Final Recommendation:
* UseAWS DMSinfull load + CDCmode for continuous replication.
:
AWS Database Migration Service Documentation
Setting Up DMS with Redshift
NEW QUESTION # 126
A data engineer is processing a large amount of log data from web servers. The data is stored in an Amazon S3 bucket. The data engineer uses AWS services to process the data every day. The data engineer needs to extract specific fields from the raw log data and load the data into a data warehouse for analysis.
Answer: D
NEW QUESTION # 127
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?
Answer: D
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 # 128
A company receives call logs as Amazon S3 objects that contain sensitive customer information. The company must protect the S3 objects by using encryption. The company must also use encryption keys that only specific employees can access.
Which solution will meet these requirements with the LEAST effort?
Answer: B
Explanation:
Option C is the best solution to meet the requirements with the least effort because server-side encryption with AWS KMS keys (SSE-KMS) is a feature that allows you to encrypt data at rest in Amazon S3 using keys managed by AWS Key Management Service (AWS KMS). AWS KMS is a fully managed service that enables you to create and manage encryption keys for your AWS services and applications. AWS KMS also allows you to define granular access policies for your keys, such as who can use them to encrypt and decrypt data, and under what conditions. By using SSE-KMS, you can protect your S3 objects by using encryption keys that only specific employees can access, without having to manage the encryption and decryption process yourself.
Option A is not a good solution because it involves using AWS CloudHSM, which is a service that provides hardware security modules (HSMs) in the AWS Cloud. AWS CloudHSM allows you to generate and use your own encryption keys on dedicated hardware that is compliant with various standards and regulations.
However, AWS CloudHSM is not a fully managed service and requires more effort to set up and maintain than AWS KMS. Moreover, AWS CloudHSM does not integrate with Amazon S3, so you have to configure the process that writes to S3 to make calls to CloudHSM to encrypt and decrypt the objects, which adds complexity and latency to the data protection process.
Option B is not a good solution because it involves using server-side encryption with customer-provided keys (SSE-C), which is a feature that allows you to encrypt data at rest in Amazon S3 using keys that you provide and manage yourself. SSE-C requires you to send your encryption key along with each request to upload or retrieve an object. However, SSE-C does not provide any mechanism to restrict access to the keys that encrypt the objects, so you have to implement your own key management and access control system, which adds more effort and risk to the data protection process.
Option D is not a good solution because it involves using server-side encryption with Amazon S3 managed keys (SSE-S3), which is a feature that allows you to encrypt data at rest in Amazon S3 using keys that are managed by Amazon S3. SSE-S3 automatically encrypts and decrypts your objects as they are uploaded and downloaded from S3. However, SSE-S3 does not allow you to control who can access the encryption keys or under what conditions. SSE-S3 uses a single encryption key for each S3 bucket, which is shared by all users who have access to the bucket. This means that you cannot restrict access to the keys that encrypt the objects by specific employees, which does not meet the requirements.
References:
* AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide
* Protecting Data Using Server-Side Encryption with AWS KMS-Managed Encryption Keys (SSE- KMS) - Amazon Simple Storage Service
* What is AWS Key Management Service? - AWS Key Management Service
* What is AWS CloudHSM? - AWS CloudHSM
* Protecting Data Using Server-Side Encryption with Customer-Provided Encryption Keys (SSE-C) - Amazon Simple Storage Service
* Protecting Data Using Server-Side Encryption with Amazon S3-Managed Encryption Keys (SSE-S3) - Amazon Simple Storage Service
NEW QUESTION # 129
......
Our Data-Engineer-Associate real exam can be downloaded for free trial before purchase, which allows you to understand our Data-Engineer-Associate sample questions and software usage. It will also enable you to make a decision based on your own needs and will not regret. If you encounter any problems in the process of purchasing or using Data-Engineer-Associate Study Guide you can contact our customer service by e-mail or online at any time, we will provide you with professional help.
Data-Engineer-Associate Exam Guide Materials: https://www.passexamdumps.com/Data-Engineer-Associate-valid-exam-dumps.html
P.S. Free 2026 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by PassExamDumps: https://drive.google.com/open?id=19nQ8dglkz71KtwQAGYyEop3Loz9XUiTZ