Study Timeline
How Long to Study for AWS Certified Data Engineer - Associate (DEA-C01)
A complete week-by-week study plan for the AWS Certified Data Engineer - Associate (DEA-C01) (Medium difficulty, Not published pass rate).
14
Weeks
9
Hrs/Week
130
Total Hours
Not published
Pass Rate
Read the exam guide and audit your gaps
Week 18 this week
- Read the DEA-C01 exam guide end to end and note the 34, 26, 22, and 18 percent weights
- Read the Revisions page and mark every skill added in version 1.1 of 12 December 2025
- Copy the in-scope services list into a spreadsheet and rate your confidence on each from 1 to 5
- Read the out-of-scope list so you stop studying ML training and inference
- Set up an AWS account with a billing alarm before you start deploying anything
Ingestion, streaming sources
Week 210 this week
- Send records into a Kinesis Data Stream and read them with a Lambda consumer
- Set up an Amazon MSK cluster or read the MSK documentation on partition and consumer group behaviour
- Enable DynamoDB Streams and wire the stream to a Lambda function
- Compare Kinesis Data Streams against Kinesis Data Firehose on delivery guarantees and buffering
- Write notes on fan-in and fan-out for streaming distribution and on replayability
Ingestion, batch sources and orchestration
Week 310 this week
- Run an AWS Glue job that reads from S3 and writes Parquet back to S3
- Create a Glue crawler and inspect the table it registers in the Glue Data Catalog
- Build a Step Functions state machine that chains two Glue jobs with error handling
- Schedule a job with EventBridge and separately with an S3 Event Notification trigger
- Compare Amazon MWAA against Step Functions on cost, cold start, and operational overhead
Transformation services and programming concepts
Week 410 this week
- Run the same transformation on Glue, EMR, and Lambda and record cost and runtime for each
- Convert a CSV dataset to Apache Parquet and measure the query time difference in Athena
- Configure Lambda reserved and provisioned concurrency and observe throttling behaviour
- Deploy a small pipeline with AWS SAM and again with AWS CDK
- Read the version 1.1 skill on integrating large language models for data processing
Data store selection
Week 510 this week
- Build a decision table for Redshift, DynamoDB, RDS, Aurora, MemoryDB, DocumentDB, Neptune, and Keyspaces
- Create an Apache Iceberg table and perform a schema evolution on it
- Read the Amazon S3 Tables documentation, which is new to the in-scope list
- Compare HNSW and IVF vector index types and note where each is preferred
- Run a Redshift Spectrum query against S3 data and compare with a federated query
Cataloguing, lifecycle, and schema design
Week 610 this week
- Write an S3 Lifecycle policy that transitions to Glacier and expires objects at a fixed age
- Enable S3 versioning and DynamoDB TTL and confirm the deletion behaviour of each
- Design a Redshift schema with an appropriate distribution style and sort key
- Design a DynamoDB table with a partition key that avoids a hot partition
- Run AWS DMS Schema Conversion against a source database schema
Operations, monitoring, and troubleshooting
Week 710 this week
- Break a Glue job deliberately and diagnose it from CloudWatch Logs alone
- Query CloudTrail events in Athena to trace who changed a resource
- Set a CloudWatch alarm that publishes to an SNS topic on pipeline failure
- Run CloudWatch Logs Insights queries against application logs
- Practise reading an Athena query plan to find the slow stage
Data quality and analysis
Week 89 this week
- Define data quality rules in AWS Glue DataBrew and run them against a dirty dataset
- Investigate data consistency in DataBrew and record what the profile output shows
- Write SQL in Athena for aggregation, rolling averages, grouping, and pivoting
- Identify data skew in a Spark job and apply a mitigation
- Build a QuickSight dashboard on top of an Athena data source
Security, authentication, and authorisation
Week 910 this week
- Write a custom IAM policy that satisfies least privilege for a single S3 prefix
- Grant Lake Formation permissions and verify them from Athena and from Redshift
- Rotate a database credential with Secrets Manager and update the consumer
- Configure an S3 Access Point and an AWS PrivateLink endpoint
- Compare role-based, tag-based, and attribute-based authorisation on the same scenario
Encryption, privacy, and governance
Week 109 this week
- Encrypt an S3 bucket with a customer managed KMS key and grant cross-account access
- Run Amazon Macie against a bucket containing sample PII
- Use AWS Config to view configuration changes in the account
- Set up Redshift data sharing between two clusters
- Write down how to block backups or replication into disallowed Regions
First full practice run and gap repair
Week 1110 this week
- Sit the AWS Skill Builder official practice exam under 130-minute timed conditions
- Score each domain separately and compare against the 34, 26, 22, and 18 percent weights
- Rebuild the weakest domain's hands-on labs rather than rereading notes
- List every service you could not place in a category and reread its overview page
- Book the real exam so the remaining weeks have a fixed deadline
Cost and performance decisions
Week 129 this week
- For each of ten scenarios, pick the cheapest service that meets the stated requirement
- Compare provisioned against serverless for Redshift, EMR, and Aurora
- Practise questions that ask for the least operational overhead rather than the fastest option
- Review AWS Budgets and Cost Explorer, both of which are in scope
- Re-read the four task statements for the 34 percent ingestion domain in full
Second timed run and weak-spot drilling
Week 138 this week
- Sit a second full timed practice exam and target above 720 with margin
- Time yourself per question and confirm you finish with at least 10 minutes spare
- Drill multiple response questions, which take longer than multiple choice
- Re-read every version 1.1 addition: Iceberg, S3 Tables, vector indexes, SageMaker Unified Studio
- Confirm your Pearson VUE profile name matches your government-issued ID exactly
Final review and exam logistics
Week 147 this week
- Review your decision tables for data stores, transformation services, and orchestration services
- Re-read the in-scope services list and confirm you can place every entry in a category
- If testing online, complete the system test on the exact machine and network you will use
- Prepare two forms of identification for the test centre or the online session
- Stop learning new material 48 hours out and rehearse pacing instead
Working Full-Time Schedule
Duration: 20 weeks
Hours/week: 6 hours
Daily: ~1 hours on weeknights
Weekends: 3-4 hours Saturday + Sunday
Study during lunch breaks and commute time. Use weekends for deeper study sessions and practice tests.
Weekend-Only Schedule
Duration: 28 weeks
Hours/week: 5 hours
Saturday: 4-5 hours of focused study
Sunday: 3-4 hours of practice tests
Longer timeline but sustainable. Review flashcards on weeknights for 15-20 minutes to maintain retention.
Frequently Asked Questions
How long does it take to study for the AWS Certified Data Engineer - Associate (DEA-C01)?
Plan for 14 weeks of dedicated study at 9 hours per week (130 total hours). If studying while working full-time, extend to 20 weeks.
Can I pass the AWS Certified Data Engineer - Associate (DEA-C01) in 2 weeks?
It's unlikely for most candidates. The AWS Certified Data Engineer - Associate (DEA-C01) is rated "Medium" difficulty and typically requires 14 weeks of preparation. Rushing increases your risk of failing and paying the exam fee again.
How many hours a day should I study for AWS Certified Data Engineer - Associate (DEA-C01)?
Aim for 2-2 hours per day on weekdays. Quality matters more than quantity, use active recall and practice tests rather than passive reading.
Is AWS Certified Data Engineer - Associate (DEA-C01) hard to pass?
The AWS Certified Data Engineer - Associate (DEA-C01) is rated "Medium" difficulty with a pass rate of Not published. With proper study, most candidates pass on their first attempt.
Ready to start your AWS Certified Data Engineer - Associate (DEA-C01) journey?
Get the complete exam guide with tips, resources, and practice questions.
View AWS Certified Data Engineer - Associate (DEA-C01) Guide