Free DEA-C01 exam questions in PDF & AI Tutor

QUESTION: 9

A data engineer needs to schedule a workflow that runs a set of AWS Glue jobs every day. The data engineer does not require the Glue jobs to run or finish at a specific time.
Which solution will run the Glue jobs in the MOST cost-effective way?

Choose the FLEX execution class in the Glue job properties.
Use the Spot Instance type in Glue job properties.
Choose the STANDARD execution class in the Glue job properties.
Choose the latest version in the GlueVersion field in the Glue job properties.

Answer(s): A

Explanation:

A) Choosing FLEX execution class is most cost-effective for nondeterministic or flexible-start workflows, as FLEX allows Glue to use fewer compute resources and scale efficiently when exact start/finish times aren’t required.
B) Spot Instances are not a Glue job option; Glue supports on-demand, streaming, and a few pricing models, but Spot isn’t applicable for Glue jobs.
C) STANDARD is a fixed cost model; it may be more expensive for sporadic, scheduled tasks that don’t need guaranteed timing.
D) GlueVersion specifies features, not cost optimization; newer versions don’t inherently reduce cost for flexible schedules.

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QUESTION: 10

A data engineer needs to create an AWS Lambda function that converts the format of data from .csv to Apache Parquet. The Lambda function must run only if a user uploads a .csv file to an Amazon S3 bucket.
Which solution will meet these requirements with the LEAST operational overhead?

Create an S3 event notification that has an event type of s3:ObjectCreated:*. Use a filter rule to generate notifications only when the suffix includes .csv. Set the Amazon Resource Name (ARN) of the Lambda function as the destination for the event notification.
Create an S3 event notification that has an event type of s3:ObjectTagging:* for objects that have a tag set to .csv. Set the Amazon Resource Name (ARN) of the Lambda function as the destination for the event notification.
Create an S3 event notification that has an event type of s3:*. Use a filter rule to generate notifications only when the suffix includes .csv. Set the Amazon Resource Name (ARN) of the Lambda function as the destination for the event notification.
Create an S3 event notification that has an event type of s3:ObjectCreated:*. Use a filter rule to generate notifications only when the suffix includes .csv. Set an Amazon Simple Notification Service (Amazon SNS) topic as the destination for the event notification. Subscribe the Lambda function to the SNS topic.

Answer(s): A

Explanation:

A is correct because S3 event notifications can filter for object creation events with a .csv suffix and directly invoke the Lambda function, minimizing components and operational overhead. B is incorrect because tag-based triggers require tagging policy and do not guarantee the file is a CSV, adding complexity. C is incorrect because s3:* is overly broad and not needed; it would generate excessive events and complicate processing. D is incorrect because using SNS introduces an additional service and subscription step, increasing latency and maintenance versus direct Lambda invocation from S3 events.

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QUESTION: 11

A data engineer needs Amazon Athena queries to finish faster. The data engineer notices that all the files the Athena queries use are currently stored in uncompressed .csv format. The data engineer also notices that users perform most queries by selecting a specific column.
Which solution will MOST speed up the Athena query performance?

Change the data format from .csv to JSON format. Apply Snappy compression.
Compress the .csv files by using Snappy compression.
Change the data format from .csv to Apache Parquet. Apply Snappy compression.
Compress the .csv files by using gzip compression.

Answer(s): C

Explanation:

Athena performance improves when using columnar, compressed formats and predicate pushdown; Parquet with Snappy enables efficient column pruning for single-column queries.
A) JSON is not columnar and increases read I/O; adds no efficient columnar pruning, even with Snappy.
B) Snappy compression alone on CSV helps slightly but does not enable columnar pruning or reduce I/O as effectively as Parquet.
C) Parquet is columnar AND Snappy-compressed, enabling predicate pushdown for specific columns and substantial I/O reduction, speeding queries.
D) gzip is a single-stream compression on CSV, not columnar and limits parallelism/Predicate pushdown; less performance gain than Parquet.

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QUESTION: 12

A manufacturing company collects sensor data from its factory floor to monitor and enhance operational efficiency. The company uses Amazon Kinesis Data Streams to publish the data that the sensors collect to a data stream. Then Amazon Kinesis Data Firehose writes the data to an Amazon S3 bucket.
The company needs to display a real-time view of operational efficiency on a large screen in the manufacturing facility.
Which solution will meet these requirements with the LOWEST latency?

Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to process the sensor data. Use a connector for Apache Flink to write data to an Amazon Timestream database. Use the Timestream database as a source to create a Grafana dashboard.
Configure the S3 bucket to send a notification to an AWS Lambda function when any new object is created. Use the Lambda function to publish the data to Amazon Aurora. Use Aurora as a source to create an Amazon QuickSight dashboard.
Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to process the sensor data. Create a new Data Firehose delivery stream to publish data directly to an Amazon Timestream database. Use the Timestream database as a source to create an Amazon QuickSight dashboard.
Use AWS Glue bookmarks to read sensor data from the S3 bucket in real time. Publish the data to an Amazon Timestream database. Use the Timestream database as a source to create a Grafana dashboard.

Answer(s): A

Explanation:

A) Real-time processing with Amazon Managed Service for Apache Flink and a Grafana dashboard using Timestream minimizes latency by streaming analytics directly from Kinesis Data Streams, with Timestream as a time-series store and Grafana for real-time visualization.
B) S3 event-based Lambda introduces higher latency due to polling and object-level processing; Aurora+QuickSight is batch-oriented and not real-time.
C) While Flink is suitable, publishing directly from Flink to Timestream via a dedicated Firehose stream adds unnecessary hops and potential latency compared to inline Flink processing and Grafana.
D) AWS Glue bookmarks are batch-oriented and not suitable for real-time dashboards; Grafana over Timestream would be possible, but the end-to-end real-time path is weaker than A.

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QUESTION: 13

A company stores daily records of the financial performance of investment portfolios in .csv format in an Amazon S3 bucket. A data engineer uses AWS Glue crawlers to crawl the S3 data.
The data engineer must make the S3 data accessible daily in the AWS Glue Data Catalog.
Which solution will meet these requirements?

Create an IAM role that includes the AmazonS3FullAccess policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler's data store. Create a daily schedule to run the crawler. Configure the output destination to a new path in the existing S3 bucket.
Create an IAM role that includes the AWSGlueServiceRole policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler's data store. Create a daily schedule to run the crawler. Specify a database name for the output.
Create an IAM role that includes the AmazonS3FullAccess policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler's data store. Allocate data processing units (DPUs) to run the crawler every day. Specify a database name for the output.
Create an IAM role that includes the AWSGlueServiceRole policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler's data store. Allocate data processing units (DPUs) to run the crawler every day. Configure the output destination to a new path in the existing S3 bucket.

Answer(s): B

Explanation:

The correct option B: Uses the AWSGlueServiceRole, which is the appropriate IAM role for Glue crawlers, ensuring least privilege and proper integration with the Glue service; specifying the S3 source and a daily crawl with a database name for the output places the catalog metadata in a known database.
A) Uses AmazonS3FullAccess, excessive permissions and not required; output destination path concept not necessary for catalog integration.
C) Adds DPUs but lacks proper output database naming and uses broad S3 access; unnecessary for catalog registration.
D) Same issue as C with DPUs and output path, plus uses full service role rather than Glue service role.

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QUESTION: 14

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?

Use a second Lambda function to invoke the first Lambda function based on Amazon CloudWatch events.
Use the Amazon Redshift Data API to publish an event to Amazon EventBridge. Configure an EventBridge rule to invoke the Lambda function.
Use the Amazon Redshift Data API to publish a message to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke the Lambda function.
Use a second Lambda function to invoke the first Lambda function based on AWS CloudTrail events.

Answer(s): B

Explanation:

B) The Redshift Data API can publish events to EventBridge, which can trigger the Lambda to write load statuses to DynamoDB, enabling decoupled, serverless event-driven updates aligned with Redshift activity.
A) Requires a separate Lambda and CloudWatch events; more complex and not as direct as EventBridge integration with Redshift Data API.
C) SQS-to-Lambda path adds unnecessary queueing and is not the idiomatic Redshift event notification mechanism.
D) CloudTrail events are audit logs, not intended for real-time data workflow triggers between Redshift and Lambda.

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QUESTION: 15

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 regularly proliferated 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?

AWS DataSync
AWS Glue
AWS Direct Connect
Amazon S3 Transfer Acceleration

Answer(s): A

Explanation:

A) AWS DataSync is correct because it enables secure, automated, periodic transfer of large on-premises datasets to S3, supports incremental changes, multiple file formats, and can schedule transfers; it handles continuous updates efficiently without manual scripting.
B) AWS Glue is optimized for ETL processing and data cataloging, not for secure, ongoing bulk transfer from on-premises to S3 with scheduling and incremental sync.
C) AWS Direct Connect provides a dedicated network connection, not data movement orchestration or scheduling of transfers to S3.
D) Amazon S3 Transfer Acceleration speeds individual uploads over long distances but is not designed for automated, scheduled, incremental sync from on-premises with ongoing updates.

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QUESTION: 16

A company uses an on-premises Microsoft SQL Server database to store financial transaction data. The company migrates the transaction data from the on-premises database to AWS at the end of each month. The company has noticed that the cost to migrate data from the on-premises database to an Amazon RDS for SQL Server database has increased recently.
The company requires a cost-effective solution to migrate the data to AWS. The solution must cause minimal downtown for the applications that access the database.
Which AWS service should the company use to meet these requirements?

AWS Lambda
AWS Database Migration Service (AWS DMS)
AWS Direct Connect
AWS DataSync

Answer(s): B

Explanation:

AWS DMS is designed for ongoing or batch migrations with minimal downtime, supporting continuous replication from on-premises SQL Server to RDS for SQL Server and optimizing for cost during monthly migrations.
A) AWS Lambda is event-driven compute unsuitable for large data migrations and lacks built-in data replication capabilities.
C) AWS Direct Connect provides dedicated network connectivity but does not handle data transformation or ongoing replication between on-prem and AWS.
D) AWS DataSync focuses on high-speed transfer of files and object storage, not relational database replication to RDS.
B) Correct: DMS handles database migration with minimal downtime and cost-effective, ongoing replication for SQL Server to RDS.

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What the DEA-C01 Exam Tests and How to Pass It

The AWS Certified Data Engineer - Associate DEA-C01 certification is designed for professionals who are responsible for building, maintaining, and managing data pipelines and data stores within the Amazon Web Services ecosystem. This certification validates a candidate's ability to implement data ingestion, transformation, and storage solutions that are secure, scalable, and cost-effective. Organizations hiring for roles such as Data Engineer, ETL Developer, or Cloud Data Architect look for this credential to ensure that potential employees possess the technical proficiency required to handle complex data workflows. By passing this certification exam, you demonstrate that you have the foundational knowledge to support data-driven decision-making processes using Amazon’s suite of data services. It is a critical benchmark for anyone looking to specialize in the cloud data engineering space, as it confirms your capability to operate within the specific constraints and best practices defined by Amazon.

The professional function of a certified AWS Data Engineer involves more than just writing code; it requires a deep understanding of how various AWS services interact to create a cohesive data architecture. Employers value this certification because it serves as a reliable indicator that a candidate understands the nuances of data lifecycle management, from the initial ingestion of raw data to the final delivery of insights. Whether you are working in a startup or a large enterprise, the skills validated by this Amazon certification are essential for maintaining the integrity and availability of data systems. As businesses increasingly rely on cloud-native data solutions, the demand for professionals who can navigate the complexities of AWS data services continues to grow. Achieving this certification provides a clear signal to recruiters and hiring managers that you are prepared to handle the responsibilities of a modern data engineering role.

What the DEA-C01 Exam Covers

The DEA-C01 exam is structured around four primary domains that reflect the day-to-day responsibilities of a data engineer working in the cloud. Candidates must demonstrate proficiency in Data Ingestion and Transformation, which involves moving data from various sources into AWS and processing it for analysis using services like AWS Glue, Amazon Kinesis, and AWS Lambda. Data Store Management is another critical area, requiring knowledge of how to select and configure the right storage solutions, such as Amazon S3, Amazon RDS, or Amazon Redshift, to meet specific performance and cost requirements. Data Operations and Support focuses on the ongoing maintenance of these systems, including monitoring, logging, and automating workflows to ensure reliability. Finally, Data Security and Governance ensures that candidates understand how to protect data at rest and in transit, manage access controls, and comply with organizational policies. Our practice questions are designed to cover these domains comprehensively, allowing you to test your knowledge across the entire spectrum of the exam syllabus.

Among these domains, Data Operations and Support often presents the most significant challenge for candidates because it requires a shift in mindset from building systems to maintaining them under real-world conditions. This area tests your ability to troubleshoot pipeline failures, optimize performance, and implement automated recovery processes using tools like Amazon CloudWatch and AWS EventBridge. To succeed here, you must understand not just how to set up a service, but how to monitor its health and respond to incidents effectively. Candidates need to demonstrate a deep understanding of operational excellence, which includes implementing CI/CD pipelines for data infrastructure and managing the lifecycle of data assets. This requires a level of practical experience that goes beyond theoretical knowledge, making it essential to use high-quality practice questions to simulate the troubleshooting scenarios you will encounter on the actual exam.

Are These Real DEA-C01 Exam Questions?

It is important to clarify that our practice questions are sourced and verified by the community, consisting of IT professionals and recent test-takers who have sat for the actual exam. These individuals contribute their insights to ensure that our questions reflect what appears on the real exam, providing a realistic assessment of your readiness. We prioritize a community-verified approach because it ensures that the content remains relevant and accurate as the exam evolves. If you have been searching for DEA-C01 exam dumps or braindump files, our community-verified practice questions offer something more valuable, each question is verified and explained by IT professionals who recently passed the exam. This method provides a reliable way to gauge your knowledge without relying on unauthorized or leaked materials that often contain incorrect information.

The community verification process is what makes our platform a trusted resource for your exam preparation. When a question is added or updated, it undergoes a rigorous review where users discuss the answer choices, flag potentially incorrect information, and share context from their own recent exam experiences. This collaborative environment allows you to see different perspectives on how to approach complex scenarios, which is far more beneficial than simply memorizing answers. By engaging with these discussions, you gain a deeper understanding of the underlying concepts, which is the most effective way to prepare for the certification exam. This transparency and collective intelligence ensure that you are studying with high-quality, reliable material that truly helps you prepare for the challenges of the DEA-C01.

How to Prepare for the DEA-C01 Exam

Effective exam preparation requires a combination of hands-on experience and a thorough understanding of AWS documentation. You should spend significant time in a sandbox environment, building and breaking data pipelines to see how different services interact in practice. Do not rely solely on reading; you must actively configure services like Amazon Glue, S3, and Redshift to understand their limitations and best practices. Every practice question on our platform includes a free AI Tutor explanation that breaks down the reasoning behind the correct answer, so you understand the concept, not just the answer. This AI Tutor is designed to help you connect the dots between the theory you read in whitepapers and the practical application required to solve scenario-based questions on the exam.

A common mistake candidates make is attempting to memorize the answers to practice questions rather than understanding the logic behind them. The DEA-C01 exam is heavily scenario-based, meaning you will be presented with complex business problems that require you to apply your knowledge to find the most efficient or secure solution. To avoid this trap, use our practice questions to identify your weak areas and then return to the official AWS documentation to reinforce those specific topics. Additionally, time management is a critical skill; use your study sessions to practice answering questions under timed conditions to ensure you can maintain your pace during the actual exam. By focusing on conceptual understanding and consistent practice, you will build the confidence needed to pass the certification exam on your first attempt.

What to Expect on Exam Day

On the day of your exam, you should be prepared for a rigorous assessment that tests your ability to make architectural and operational decisions in a cloud environment. The exam format typically consists of multiple-choice and multiple-response questions, often presented as complex scenarios that require you to select the best solution based on criteria like cost, performance, security, or operational overhead. These exams are administered in a controlled environment, either at a physical testing center or via an online proctoring service like Pearson VUE. You will have a set amount of time to complete the exam, and it is crucial to manage your time effectively, as some questions may be more time-consuming than others. Familiarizing yourself with the interface and the types of questions beforehand will help reduce anxiety and allow you to focus entirely on the technical content.

Amazon certification exams are designed to be challenging, and you should expect to encounter questions that require you to synthesize information from multiple AWS services. There is no single "trick" to passing; success comes from a comprehensive understanding of the AWS Well-Architected Framework and how it applies to data engineering. You will likely face questions that ask you to choose between two technically viable solutions, where the correct answer depends on a specific constraint mentioned in the scenario. Pay close attention to keywords in the question stem, such as "most cost-effective," "least operational overhead," or "highest availability," as these are the keys to selecting the right answer. By preparing with a focus on these nuances, you will be well-equipped to handle the pressure and complexity of the actual testing environment.

Who Should Use These DEA-C01 Practice Questions

These practice questions are intended for data engineers, ETL developers, and cloud architects who are actively pursuing the AWS Certified Data Engineer - Associate certification. If you have at least one to two years of experience working with AWS data services and are looking to formalize your expertise, this resource is designed for you. The goal of this exam preparation is to bridge the gap between your daily work experience and the specific requirements of the certification exam. Whether you are looking to advance your career, validate your skills for a new role, or simply deepen your understanding of AWS data architecture, these questions provide the structured practice you need. By using these materials, you are taking a proactive step toward achieving a recognized Amazon certification that carries significant weight in the IT industry.

To get the most out of these practice questions, do not simply treat them as a quiz to be completed quickly. Instead, treat each question as a learning opportunity; if you get a question wrong, read the AI Tutor explanation carefully and review the community discussions to understand why your initial reasoning was incorrect. Flag the questions that you find particularly difficult and revisit them periodically to ensure that you have truly mastered the concept. Engaging with the material in this way will help you retain information longer and apply it more effectively in your professional work. Browse the questions above and use the community discussions and AI Tutor to build real exam confidence as you work toward your certification goal.

Amazon DEA-C01 Exam Actual Questions AWS Certified Data Engineer - Associate DEA-C01 (Page 3 )

QUESTION: 9

Explanation:

QUESTION: 10

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QUESTION: 11

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QUESTION: 12

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QUESTION: 13

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QUESTION: 14

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QUESTION: 15

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QUESTION: 16

Explanation:

What the DEA-C01 Exam Tests and How to Pass It

What the DEA-C01 Exam Covers

Are These Real DEA-C01 Exam Questions?

How to Prepare for the DEA-C01 Exam

What to Expect on Exam Day

Who Should Use These DEA-C01 Practice Questions

Amazon DEA-C01 Exam Actual Questions
AWS Certified Data Engineer - Associate DEA-C01 (Page 3 )