- A
Configure the Glue job to use a JDBC connection with a SQL query that reads from the binary log.
Why wrong: Incorrect. AWS Glue does not support reading MySQL binary logs via JDBC. CDC via binlog requires a dedicated service like AWS DMS or Debezium, not Glue.
- B
Ingest the RDS data into Kinesis Data Streams and then use Glue.
Why wrong: Incorrect. Ingesting RDS data into Kinesis Data Streams before Glue adds unnecessary complexity and cost. Glue can directly connect to RDS for batch processing.
- C
Set a job bookmark in Glue to track processed records.
Correct. Glue job bookmarks track which records have been processed, allowing the job to incrementally read only new or changed data when combined with a timestamp column query.
- D
Enable binary logging (binlog) on the RDS MySQL instance.
Correct. Enabling binary logging on RDS MySQL captures all row-level changes, which is a prerequisite for CDC. Although Glue does not read binlog directly, binlog is needed for other CDC tools that might be used in the pipeline.
- E
Use a full table scan with a WHERE clause on a timestamp column.
Correct. Using a full table scan with a WHERE clause on a timestamp column is a standard pattern for incremental loads with Glue. When combined with job bookmarks, it efficiently processes only new and modified records.
AWS Glue Change Data Capture from MySQL — Binlog and Job Bookmarks
This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: aWS Glue Job Bookmarks. 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 data engineer is building a batch ETL pipeline using AWS Glue. The source data is in Amazon RDS for MySQL. The pipeline must run daily and process only new and modified records since the last run. The engineer needs to implement change data capture (CDC) efficiently. Which THREE steps should the engineer take? (Choose THREE.)
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
Set a job bookmark in Glue to track processed records.
AWS Glue job bookmarks can track processed records by using a timestamp column in the source table, enabling incremental processing (Option C). Enabling binary logging (binlog) on RDS MySQL is a necessary step for any change data capture (CDC) implementation, as it ensures all changes are recorded and can be used by AWS DMS or other services to capture changes in real time, which can then be ingested into AWS Glue via S3 or Kinesis. Although Glue does not directly read binlog via JDBC, enabling binlog is a best practice and a prerequisite for CDC from RDS MySQL. Additionally, using a full table scan with a WHERE clause on a timestamp column (Option E) is an efficient way to process only new and modified records when combined with job bookmarks. Option A is incorrect because Glue JDBC connections cannot directly read MySQL binary logs. Option B is unnecessary and adds complexity without direct benefit to the task.
Key principle: AWS Glue Job Bookmarks
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure the Glue job to use a JDBC connection with a SQL query that reads from the binary log.
Why it's wrong here
Incorrect. AWS Glue does not support reading MySQL binary logs via JDBC. CDC via binlog requires a dedicated service like AWS DMS or Debezium, not Glue.
- ✗
Ingest the RDS data into Kinesis Data Streams and then use Glue.
Why it's wrong here
Incorrect. Ingesting RDS data into Kinesis Data Streams before Glue adds unnecessary complexity and cost. Glue can directly connect to RDS for batch processing.
- ✓
Set a job bookmark in Glue to track processed records.
Why this is correct
Correct. Glue job bookmarks track which records have been processed, allowing the job to incrementally read only new or changed data when combined with a timestamp column query.
Related concept
AWS Glue Job Bookmarks
- ✓
Enable binary logging (binlog) on the RDS MySQL instance.
Why this is correct
Correct. Enabling binary logging on RDS MySQL captures all row-level changes, which is a prerequisite for CDC. Although Glue does not read binlog directly, binlog is needed for other CDC tools that might be used in the pipeline.
Related concept
AWS Glue Job Bookmarks
- ✓
Use a full table scan with a WHERE clause on a timestamp column.
Why this is correct
Correct. Using a full table scan with a WHERE clause on a timestamp column is a standard pattern for incremental loads with Glue. When combined with job bookmarks, it efficiently processes only new and modified records.
Related concept
AWS Glue Job Bookmarks
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often think that Glue can read MySQL binary logs directly via JDBC, but Glue does not support that. The correct approach for CDC with Glue involves enabling binlog as a prerequisite (for external CDC tools), using job bookmarks, and querying with a timestamp WHERE clause. Do not dismiss option D as irrelevant; it is a necessary step to capture changes at the database level.
Detailed technical explanation
How to think about this question
MySQL binlog records all data changes in row-based or statement-based format. Glue's JDBC connection can execute a query like 'SELECT * FROM mysql.binlog.xxx' to stream changes, but more commonly, Glue uses a custom connector or Spark Structured Streaming to parse binlog events. In practice, enabling binlog increases write overhead on the RDS instance, so it must be sized appropriately for the workload.
KKey Concepts to Remember
- AWS Glue Job Bookmarks
- Binary Logging (binlog)
- Incremental Load with Timestamp Column
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
AWS Glue Job Bookmarks
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
Review aWS Glue Job Bookmarks, then practise related DEA-C01 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — AWS Glue Job Bookmarks.
What is the correct answer to this question?
The correct answer is: Set a job bookmark in Glue to track processed records. — AWS Glue job bookmarks can track processed records by using a timestamp column in the source table, enabling incremental processing (Option C). Enabling binary logging (binlog) on RDS MySQL is a necessary step for any change data capture (CDC) implementation, as it ensures all changes are recorded and can be used by AWS DMS or other services to capture changes in real time, which can then be ingested into AWS Glue via S3 or Kinesis. Although Glue does not directly read binlog via JDBC, enabling binlog is a best practice and a prerequisite for CDC from RDS MySQL. Additionally, using a full table scan with a WHERE clause on a timestamp column (Option E) is an efficient way to process only new and modified records when combined with job bookmarks. Option A is incorrect because Glue JDBC connections cannot directly read MySQL binary logs. Option B is unnecessary and adds complexity without direct benefit to the task.
What should I do if I get this DEA-C01 question wrong?
Review aWS Glue Job Bookmarks, then practise related DEA-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
AWS Glue Job Bookmarks
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Last reviewed: Jul 4, 2026
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