DOWNLOAD the newest Actual4Labs Data-Engineer-Associate PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1E51q4grda69NNK-aO6NwZzAEuLPq4JB2
Actual and updated Data-Engineer-Associate questions are essential for individuals who want to clear the Data-Engineer-Associate examination in a short time. At Actual4Labs, we understand that the learning style of every Data-Engineer-Associate exam applicant is different. That's why we offer three formats of Amazon Data-Engineer-Associate Dumps. With our actual and updated Data-Engineer-Associate questions, you can achieve success in the Amazon Certification Exam and accelerate your career on the first attempt.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Security and Governance | 18% | - Ensure data encryption
|
| Topic 2: Data Ingestion and Transformation | 34% | - Orchestrate data pipelines
|
| Topic 3: Data Operations and Support | 22% | - Automate data pipelines
|
| Topic 4: Data Store Management | 26% | - Manage data lifecycle
|
>> New Data-Engineer-Associate Dumps <<
If you want to ace the AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) test, the main problem you may face is not finding updated Data-Engineer-Associate practice questions to crack this test quickly. After examining the situation, the Actual4Labs has come with the idea to provide you with updated and actual Amazon Data-Engineer-Associate Exam Dumps so you can pass AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) test on the first attempt. The product of Actual4Labs has many different premium features that help you use this product with ease. The study material has been made and updated after consulting with a lot of professionals and getting customers' reviews.
NEW QUESTION # 262
A data engineer is launching an Amazon EMR cluster. The data that the data engineer needs to load into the new cluster is currently in an Amazon S3 bucket. The data engineer needs to ensure that data is encrypted both at rest and in transit.
The data that is in the S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The data engineer has an Amazon S3 path that has a Privacy Enhanced Mail (PEM) file.
Which solution will meet these requirements?
Answer: C
Explanation:
To meet both encryption at rest and in transit, a single Amazon EMR security configuration can be created specifying the AWS KMS key for encryption at rest and the PEM file for in-transit encryption. The study guide clearly states:
"AWS Key Management Service (KMS) provides encryption for data at rest, and SSL/TLS ensures encryption for data in transit, providing end-to-end encryption within an AWS environment."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf A single security configuration is sufficient and the cleanest way to apply these security features during EMR cluster setup.
NEW QUESTION # 263
A company stores sensitive transaction data in an Amazon S3 bucket. A data engineer must implement controls to prevent accidental deletions.
Answer: B
Explanation:
Versioning with MFA Delete protects against accidental or malicious deletions by requiring multi-factor authentication to permanently remove objects or versions.
"To protect data from accidental deletion, enable S3 Versioning and MFA Delete, which requires MFA for object deletions and prevents unintentional loss."
- Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This is the AWS best practice for securing critical S3 data.
NEW QUESTION # 264
The company stores a large volume of customer records in Amazon S3. To comply with regulations, the company must be able to access new customer records immediately for the first 30 days after the records are created. The company accesses records that are older than 30 days infrequently.
The company needs to cost-optimize its Amazon S3 storage.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
The most cost-effective solution in this case is to apply a lifecycle policy to transition records to Amazon S3 Standard-IA storage after 30 days. Here's why:
Amazon S3 Lifecycle Policies: Amazon S3 offers lifecycle policies that allow you to automatically transition objects between different storage classes to optimize costs. For data that is frequently accessed in the first 30 days and infrequently accessed after that, transitioning from the S3 Standard storage class to S3 Standard- Infrequent Access (S3 Standard-IA) after 30 days makes the most sense. S3 Standard-IA is designed for data that is accessed less frequently but still needs to be retained, offering lower storage costs than S3 Standard with a retrieval cost for access.
Cost Optimization: S3 Standard-IA offers a lower price per GB than S3 Standard. Since the data will be accessed infrequently after 30 days, using S3 Standard-IA will lower storage costs while still allowing for immediate retrieval when necessary.
Compliance with Regulations: Since the records need to be immediately accessible for the first 30 days, the use of S3 Standard for that period ensures compliance with regulatory requirements. After 30 days, transitioning to S3 Standard-IA continues to meet access requirements for infrequent access while reducing storage costs.
Alternatives Considered:
Option B (S3 Intelligent-Tiering): While S3 Intelligent-Tiering automatically moves data between access tiers based on access patterns, it incurs a small monthly monitoring and automation charge per object. It could be a viable option, but transitioning data to S3 Standard-IA directly would be more cost-effective since the pattern of access is well-known (frequent for 30 days, infrequent thereafter).
Option C (S3 Glacier Deep Archive): Glacier Deep Archive is the lowest-cost storage class, but it is not suitable in this case because the data needs to be accessed immediately within 30 days and on an infrequent basis thereafter. Glacier Deep Archive requires hours for data retrieval, which is not acceptable for infrequent access needs.
Option D (S3 Standard-IA for all records): Using S3 Standard-IA for all records would result in higher costs for the first 30 days, as the data is frequently accessed. S3 Standard-IA incurs retrieval charges, making it less suitable for frequently accessed data.
Amazon S3 Lifecycle Policies
S3 Storage Classes
Cost Management and Data Optimization Using Lifecycle Policies
AWS Data Engineering Documentation
NEW QUESTION # 265
A company wants to ingest streaming data into an Amazon Redshift data warehouse from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. A data engineer needs to develop a solution that provides low data access time and that optimizes storage costs.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
According to the guide:
"For integrating streaming data from Amazon MSK into Amazon Redshift efficiently and cost-effectively, AWS Glue streaming jobs can process and transform the data, storing it in Amazon S3. Amazon Redshift Spectrum can then directly query the data from S3, minimizing operational overhead and reducing storage costs."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This setup offers:
* Low latencyvia Glue streaming.
* Low storage costby using Parquet/ORC on S3.
* Minimal operational overheadby avoiding complex pipelines or constantly updated materialized views.
NEW QUESTION # 266
A company needs to transform IoT sensor data in near real time before the company stores the data in an Amazon S3 bucket. The data is available from a data stream in Amazon Kinesis Data Streams. The company needs to apply complex and stateful transformations to the data before the company stores the data.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Option B is correct because Amazon Managed Service for Apache Flink is the AWS managed service built for real-time stream processing, including stateful computations over streaming data. AWS documentation describes Apache Flink as a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. AWS also states that Managed Service for Apache Flink can read from a Kinesis data stream, apply transformations such as filtering, aggregation, or enrichment, and write the transformed output to a sink. This maps exactly to the requirement for complex, stateful, near-real-time transformations on data coming from Amazon Kinesis Data Streams before storing it in S3.
Option A and D are less suitable because scheduled Glue or EMR Spark jobs are not the least-operational or best-fit solution for continuous near-real-time stateful streaming transformations. Option C can work for lightweight event processing, but Lambda is not the best fit for more complex and stateful streaming logic compared with Flink's native state management and streaming semantics. Therefore, Managed Service for Apache Flink is the correct managed AWS answer.
NEW QUESTION # 267
......
There are a lot of advantages of our APP online version. On one hand, the online version of our Data-Engineer-Associate exam questions can apply in all kinds of the eletronic devices. In addition, the online version of our Data-Engineer-Associate training materials can work in an offline state. If you buy our products, you have the chance to use our study materials for preparing your exam when you are in an offline state. We believe that you will like the online version of our Data-Engineer-Associate Exam Questions.
Reliable Data-Engineer-Associate Dumps Ebook: https://www.actual4labs.com/Amazon/Data-Engineer-Associate-actual-exam-dumps.html
P.S. Free & New Data-Engineer-Associate dumps are available on Google Drive shared by Actual4Labs: https://drive.google.com/open?id=1E51q4grda69NNK-aO6NwZzAEuLPq4JB2