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When automating Hadoop cluster creation and job submission on AWS EMR using Python, which AWS SDK client and method are appropriate?

hard📝 Application Q9 of 15
Hadoop - Modern Data Architecture with Hadoop
When automating Hadoop cluster creation and job submission on AWS EMR using Python, which AWS SDK client and method are appropriate?
AUse boto3's emr client with create_cluster() and add_job_flow_steps() methods
BUse boto3's s3 client with create_bucket() and upload_file() methods
CUse boto3's ec2 client with run_instances() and start_instances() methods
DUse boto3's lambda client with invoke() method
Step-by-Step Solution
Solution:

  1. Step 1: Identify AWS SDK for EMR

    boto3's 'emr' client manages EMR clusters and job steps.

  2. Step 2: Match methods to tasks

    create_cluster() creates the cluster; add_job_flow_steps() submits jobs.

  3. Final Answer:

    Use boto3's emr client with create_cluster() and add_job_flow_steps() methods -> Option A

  4. Quick Check:

    Use emr client for cluster and job management [OK]
Quick Trick: boto3 emr client with create_cluster and add_job_flow_steps [OK]
Common Mistakes:
  • Using s3 client which manages storage, not clusters
  • Using ec2 client which manages instances but not EMR jobs
  • Using lambda client which is unrelated to EMR

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