- A
AWS Database Migration Service (DMS)
Why wrong: DMS is for database migrations, not SaaS applications.
- B
AWS Data Pipeline
Why wrong: Data Pipeline is a legacy service; Glue is more modern and integrated.
- C
Amazon AppFlow
Why wrong: AppFlow is for data ingestion from SaaS but lacks transformation capabilities beyond simple mappings.
- D
AWS Glue (crawlers and ETL jobs)
AWS Glue can connect to SaaS sources via JDBC and perform complex transformations.
Question 1,484 of 1,786
Which AWS Service Ingests SaaS Data into Redshift with Transformation?
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company needs to ingest data from multiple SaaS applications (Salesforce, Marketo) and load it into Amazon Redshift. The data must be transformed before loading. Which AWS service should be used to build the ingestion pipelines?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
AWS Glue (crawlers and ETL jobs)
AWS Glue is the correct choice because it provides a fully managed ETL service that can connect to various data sources (including SaaS applications via JDBC or custom connectors), transform the data using Apache Spark or Python scripts, and load it into Amazon Redshift. Glue crawlers can catalog the source schemas, and Glue ETL jobs handle the transformation logic required before loading into Redshift, making it ideal for building ingestion pipelines from multiple SaaS sources.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migrations, not SaaS applications.
- ✗
AWS Data Pipeline
Why it's wrong here
Data Pipeline is a legacy service; Glue is more modern and integrated.
- ✗
Amazon AppFlow
Why it's wrong here
AppFlow is for data ingestion from SaaS but lacks transformation capabilities beyond simple mappings.
- ✓
AWS Glue (crawlers and ETL jobs)
Why this is correct
AWS Glue can connect to SaaS sources via JDBC and perform complex transformations.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon AppFlow's simplicity for ETL capability, but AppFlow lacks the advanced transformation and orchestration features needed for complex data pipelines, making Glue the correct choice despite AppFlow's direct Redshift integration.
Detailed technical explanation
How to think about this question
AWS Glue uses Apache Spark under the hood for distributed data processing, allowing it to handle large-scale transformations efficiently. Glue's DynamicFrame abstraction automatically handles schema evolution and data types, which is critical when ingesting from SaaS APIs that may change their data structures. In a real-world scenario, you would use Glue's built-in Salesforce connector or a custom JDBC driver to extract data, apply transformations like deduplication or aggregation in PySpark, and then use the Redshift JDBC or COPY command to load the transformed data into Redshift.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Data Ingestion and Transformation — study guide chapter
Learn the concepts, then practise the questions
- →
Data Ingestion and Transformation practice questions
Targeted practice on this topic area only
- →
All DEA-C01 questions
1,786 questions across all exam domains
- →
AWS Certified Data Engineer Associate DEA-C01 study guide
Full concept coverage aligned to exam objectives
- →
DEA-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related DEA-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Data Ingestion and Transformation practice questions
Practise DEA-C01 questions linked to Data Ingestion and Transformation.
Data Operations and Support practice questions
Practise DEA-C01 questions linked to Data Operations and Support.
Data Security and Governance practice questions
Practise DEA-C01 questions linked to Data Security and Governance.
Data Store Management practice questions
Practise DEA-C01 questions linked to Data Store Management.
DEA-C01 fundamentals practice questions
Practise DEA-C01 questions linked to DEA-C01 fundamentals.
DEA-C01 scenario practice questions
Practise DEA-C01 questions linked to DEA-C01 scenario.
DEA-C01 troubleshooting practice questions
Practise DEA-C01 questions linked to DEA-C01 troubleshooting.
Practice this exam
Start a free DEA-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Glue (crawlers and ETL jobs) — AWS Glue is the correct choice because it provides a fully managed ETL service that can connect to various data sources (including SaaS applications via JDBC or custom connectors), transform the data using Apache Spark or Python scripts, and load it into Amazon Redshift. Glue crawlers can catalog the source schemas, and Glue ETL jobs handle the transformation logic required before loading into Redshift, making it ideal for building ingestion pipelines from multiple SaaS sources.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More DEA-C01 practice questions
- A data pipeline uses Kinesis Data Firehose to deliver streaming data to an S3 bucket. The data volume spikes occasionall…
- An e-commerce company uses AWS Glue to run ETL jobs that transform clickstream data from Amazon S3. The job reads Parque…
- A data engineering team uses Amazon Kinesis Data Analytics for Apache Flink to process streaming data. They notice that…
- A company uses AWS Glue to process streaming data from Amazon Kinesis Data Streams. The job reads JSON records and write…
- A data engineer applies the above bucket policy to an S3 bucket containing sensitive data. The goal is to allow only enc…
- A company uses AWS Glue to catalog data in Amazon S3. The security team requires that all sensitive data be identified a…
Last reviewed: Jul 4, 2026
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.