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DEA-C01 Data Store Management Practice Question
Order the steps to set up an Amazon EMR cluster for processing data in S3 using Spark.
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
✓
Prepare the S3 bucket, then launch the EMR cluster with Spark, then configure instances, then submit the job, then terminate the cluster.
First, prepare the S3 bucket. Then launch the EMR cluster with Spark, configure instances, submit the job, and terminate.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Prepare the S3 bucket, then launch the EMR cluster with Spark, then configure instances, then submit the job, then terminate the cluster.
Why this is correct
This is the correct order because you must first ensure the data is in S3 and permissions are set, then launch the cluster with Spark, configure instances appropriately, submit the job, and finally terminate the cluster to avoid unnecessary costs.
- ✗
Launch the EMR cluster with Spark, then prepare the S3 bucket, then configure instances, then submit the job, then terminate the cluster.
Why it's wrong here
This is incorrect because the S3 bucket should be prepared before launching the cluster to ensure the data is accessible when the cluster starts. If the bucket is not ready, the job may fail.
- ✗
Prepare the S3 bucket, then configure instances, then launch the EMR cluster with Spark, then submit the job, then terminate the cluster.
Why it's wrong here
This is incorrect because instance configuration is part of the cluster launch process; you cannot configure instances independently before launching the cluster. The cluster must be launched first, then instance groups can be configured (if not already done at launch).
- ✗
Submit the job, then launch the EMR cluster with Spark, then configure instances, then prepare the S3 bucket, then terminate the cluster.
Why it's wrong here
This is incorrect because a job cannot be submitted without an existing cluster and data. You must prepare the S3 bucket and launch the cluster before submitting any job.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.