DAS-C01 · Question #105
DAS-C01 Question #105: Real Exam Question with Answer & Explanation
The correct answer is B: To create the data catalog, run an AWS Glue crawler on the existing Parquet data.. {"question_number": 4, "question_summary": "Use Lake Formation for granular security on existing S3 Parquet data - most cost-effective setup", "correct_answer": "B", "explanation": "AWS Lake Formation operates on top of the AWS Glue Data Catalog. Since the data is already stored
Question
A manufacturing company uses Amazon S3 to store its data. The company wants to use AWS Lake Formation to provide granular-level security on those data assets. The data is in Apache Parquet format. The company has set a deadline for a consultant to build a data lake. How should the consultant create the MOST cost-effective solution that meets these requirements?
Options
- ARun Lake Formation blueprints to move the data to Lake Formation.
- BTo create the data catalog, run an AWS Glue crawler on the existing Parquet data.
- CInstall Apache Ranger on an Amazon EC2 instance and integrate with Amazon EMR.
- DCreate multiple IAM roles for different users and groups.
Explanation
{"question_number": 4, "question_summary": "Use Lake Formation for granular security on existing S3 Parquet data - most cost-effective setup", "correct_answer": "B", "explanation": "AWS Lake Formation operates on top of the AWS Glue Data Catalog. Since the data is already stored in S3 in Parquet format, the most cost-effective first step is to run a Glue crawler against the existing S3 data to populate the Glue Data Catalog. Once cataloged, Lake Formation can apply column-level, row-level, and table-level permissions without any data movement. Running Lake Formation blueprints (A) to physically move the data is unnecessary and adds cost. Apache Ranger on EC2 (C) is complex and operationally heavy. Creating IAM roles alone (D) does not provide the granular Lake Formation-level security requested.", "generated_by": "claude-sonnet", "llm_judge_score": 3}
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