MLS-C01 Data Engineering Practice Question
A company is using AWS Glue Data Catalog as the metadata store for their data lake. They have multiple AWS accounts and want to share the catalog across accounts. Which feature should they use?
⚠ Common exam trap
A common mix-up: candidates confuse AWS Lake Formation's cross-account access capabilities with the actual sharing mechanism, but Lake Formation relies on AWS RAM to enable the sharing of Data Catalog resources.
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
✓
AWS Resource Access Manager (RAM)
AWS Resource Access Manager (RAM) enables you to share AWS Glue Data Catalog databases and tables across multiple AWS accounts without needing to copy metadata. This allows a centralized catalog to be consumed by different accounts for querying and ETL operations, maintaining a single source of truth for the data lake.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Athena Federated Query
Why it's wrong here
Federated query accesses external sources, not catalog sharing.
- ✗
AWS Lake Formation
Why it's wrong here
Lake Formation helps with permissions but not cross-account catalog sharing directly.
- ✓
AWS Resource Access Manager (RAM)
Why this is correct
RAM allows sharing Glue Data Catalog across accounts.
- ✗
Amazon S3 Cross-Region Replication
Why it's wrong here
CRR is for data replication, not metadata catalog.
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