BONUS!!! Download part of GuideTorrent Data-Engineer-Associate dumps for free: https://drive.google.com/open?id=1m0fFeOoBSL8cRL_R5Ug0y6zxB1qFd2mn
In order to meet the request of current real test, the technology team of research on GuideTorrent Amazon Data-Engineer-Associate exam materials is always update the questions and answers in time. We always accept feedbacks from users, and take many of the good recommendations, resulting in a perfect GuideTorrent Amazon Data-Engineer-Associate Exam Materials. This allows GuideTorrent to always have the materials of highest quality.
| Section | Weight | Objectives |
|---|---|---|
| Data Security and Governance | 18% | - Implement access control and authentication
- Protect sensitive data |
| Data Store Management | 26% | - Manage data lifecycle and storage tiers - Optimize storage performance and cost - Design and implement data storage solutions
|
| Data Operations and Support | 22% | - Monitor and troubleshoot data pipelines
- Automate operational tasks - Ensure reliability and scalability |
| Data Ingestion and Transformation | 34% | - Implement data quality and validation - Transform and enrich data
|
>> Exam Dumps Data-Engineer-Associate Demo <<
GuideTorrent can satisfy the fundamental demands of candidates with concise layout and illegible outline of our exam questions. We have three versions of Data-Engineer-Associate study materials and they are made for different habits and preference of you, Our PDF version of Data-Engineer-Associate study guide is suitable for reading and printing requests. The second Software versions which are usable to windows system only with simulation test system for you to practice in daily life. The last App version of our Data-Engineer-Associate Exam Dump is suitable for different kinds of electronic products. And there have no limitation for downloading.
NEW QUESTION # 51
A financial company recently added more features to its mobile app. The new features required the company to create a new topic in an existing Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster.
A few days after the company added the new topic, Amazon CloudWatch raised an alarm on the RootDiskUsed metric for the MSK cluster.
How should the company address the CloudWatch alarm?
Answer: C
Explanation:
The RootDiskUsed metric for the MSK cluster indicates that the storage on the broker is reaching its capacity. The best solution is to expand the storage of the MSK broker and enable automatic storage expansion to prevent future alarms.
* Expand MSK Broker Storage:
* AWS Managed Streaming for Apache Kafka (MSK) allows you to expand the broker storage to accommodate growing data volumes. Additionally, auto-expansion of storage can be configured to ensure that storage grows automatically as the data increases.
NEW QUESTION # 52
A company loads transaction data for each day into Amazon Redshift tables at the end of each day. The company wants to have the ability to track which tables have been loaded and which tables still need to be loaded.
A data engineer wants to store the load statuses of Redshift tables in an Amazon DynamoDB table. The data engineer creates an AWS Lambda function to publish the details of the load statuses to DynamoDB.
How should the data engineer invoke the Lambda function to write load statuses to the DynamoDB table?
Answer: C
Explanation:
The Amazon Redshift Data API enables you to interact with your Amazon Redshift data warehouse in an easy and secure way. You can use the Data API to run SQL commands, such as loading data into tables, without requiring a persistent connection to the cluster. The Data API also integrates with Amazon EventBridge, which allows you to monitor the execution status of your SQL commands and trigger actions based on events. By using the Data API to publish an event to EventBridge, the data engineer can invoke the Lambda function that writes the load statuses to the DynamoDB table. This solution is scalable, reliable, and cost-effective. The other options are either not possible or not optimal. You cannot use a second Lambda function to invoke the first Lambda function based on CloudWatch or CloudTrail events, as these services do not capture the load status of Redshift tables. You can use the Data API to publish a message to an SQS queue, but this would require additional configuration and polling logic to invoke the Lambda function from the queue. This would also introduce additional latency and cost. References:
Using the Amazon Redshift Data API
Using Amazon EventBridge with Amazon Redshift
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 2: Data Store Management, Section 2.2: Amazon Redshift
NEW QUESTION # 53
A company creates a new non-production application that runs on an Amazon EC2 instance. The application needs to communicate with an Amazon RDS database instance using Java Database Connectivity (JDBC).
The EC2 instances and the RDS database instance are in the same subnet.
Which solution will meet this requirement?
Answer: A
Explanation:
Amazon RDS controls network-level access through security groups, which act as virtual firewalls. To allow an EC2 instance to connect to an RDS database using JDBC, the RDS security group must explicitly allow inbound traffic from the EC2 instance or its associated security group on the appropriate database port.
IAM roles do not control network connectivity to RDS databases. The ec2_authorized_hosts parameter does not exist for RDS engines. The Amazon RDS Data API is not supported for standard JDBC connections and is only available for Aurora Serverless v1 and v2.
Updating the RDS security group is the correct and simplest approach. By adding an inbound rule that allows traffic from the EC2 instance's security group, the application can securely connect to the database without additional configuration or restarts.
Therefore, Option C is the correct solution.
NEW QUESTION # 54
A company has several new datasets in CSV and JSON formats. A data engineer needs to make the data available to a team of data analysts who will analyze the data by using SQL queries.
Which solution will meet these requirements in the MOST cost-effective way?
Answer: C
Explanation:
Option C is the most cost-effective because it keeps the datasets in Amazon S3 and uses Amazon Athena to query them with SQL only when needed, avoiding the cost of running always-on database infrastructure. The study material states that "Amazon Athena is a serverless service that allows you to query data stored in Amazon S3 using standard SQL" . This directly matches the requirement that analysts will "analyze the data by using SQL queries," while remaining cost-efficient due to serverless, on-demand querying.
To make CSV and JSON in S3 easily queryable, metadata must be discoverable and managed. The material also highlights that AWS Glue automates cataloging data in S3 through the AWS Glue Data Catalog, which
"helps discover and manage metadata for data stored in AWS," enabling query engines to treat file data as tables .
Other options are less aligned: RDS MySQL adds continuous capacity and administration costs; DataBrew is primarily for visual preparation (clean/normalize) rather than serving as the SQL query layer ; and QuickSight
/SPICE targets BI dashboards, not general-purpose ad hoc SQL over raw files.
NEW QUESTION # 55
A company uses Amazon S3 and AWS Glue Data Catalog to manage a data lake that contains contact information for customers. The company uses PySpark and AWS Glue jobs with a DynamicFrame to run a workflow that processes data within the data lake.
A data engineer notices that the workflow is generating errors as a result of how customer postal codes are stored in the data lake. Some postal codes include unnecessary numbers or invalid characters.
The data engineer needs a solution to address the errors and correct the postal codes in the data lake.
Which solution will meet these requirements?
Answer: D
Explanation:
Option A is the only choice that directly addresses the root cause: inconsistent postal-code formatting causing processing errors. In AWS Glue, a DynamicFrame can encounter issues when incoming data contains unexpected types or malformed values. Providing an explicit PySpark schema forces the postal code column to be interpreted consistently (for example, as a string with the expected structure), which prevents downstream steps from failing because of unexpected characters or mixed representations. After enforcing a consistent schema, the Glue job can standardize values (such as trimming extra digits, removing invalid characters, and normalizing case) and then write the corrected output back to Amazon S3 so the data lake is fixed at the source.
The document reinforces that AWS Glue is the managed ETL service used to transform data and move it between stores, which is exactly what is needed to correct bad values and persist clean outputs back into the lake. It also highlights that AWS Glue can perform validation as part of the ETL process, supporting the idea that data can be checked and corrected during processing rather than allowing bad values to break the workflow.
Options B, C, and D do not fix data quality or formatting issues; they relate to workflow state sharing, partition filtering, or internal implementation details, not cleansing invalid postal codes.
NEW QUESTION # 56
......
Our evaluation system for Data-Engineer-Associate test material is smart and very powerful. First of all, our researchers have made great efforts to ensure that the data scoring system of our Data-Engineer-Associate test questions can stand the test of practicality. Once you have completed your study tasks and submitted your training results, the evaluation system will begin to quickly and accurately perform statistical assessments of your marks on the Data-Engineer-Associate Exam Torrent so that you can arrange the learning tasks properly and focus on the targeted learning tasks with Data-Engineer-Associate test questions.
Relevant Data-Engineer-Associate Questions: https://www.guidetorrent.com/Data-Engineer-Associate-pdf-free-download.html
DOWNLOAD the newest GuideTorrent Data-Engineer-Associate PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1m0fFeOoBSL8cRL_R5Ug0y6zxB1qFd2mn