The answer is Amazon Athena with JDBC/ODBC drivers. Athena is the correct choice because it is a serverless interactive query service that lets you run standard SQL directly against data stored in an S3 data lake, and it provides JDBC and ODBC drivers that enable BI tools like Tableau and Power BI to connect seamlessly without moving or transforming the underlying data. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your understanding of how serverless analytics services bridge the gap between storage and business intelligence—a common trap is confusing Athena with Amazon Redshift, but remember that Athena queries data in place on S3, while Redshift requires a dedicated data warehouse cluster. A helpful memory tip: think of Athena as the “SQL bridge” between your S3 data lake and your BI tools—it lets you query the lake without building a dock.
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to provide their data analysts with a way to run SQL queries on their S3 data lake using familiar BI tools like Tableau or Power BI. Which AWS service provides an ODBC/JDBC connection to S3 data?
Why wrong: QuickSight is AWS's own BI tool — it connects to Athena, but it doesn't provide ODBC/JDBC connectivity for third-party tools like Tableau.
B
Amazon Athena with JDBC/ODBC drivers
Athena provides official JDBC and ODBC drivers enabling Tableau, Power BI, and other BI tools to query S3 data via standard SQL interfaces as if connecting to a traditional database.
C
Amazon EMR with Hive
Why wrong: EMR Hive can be accessed via JDBC but requires a running cluster — Athena provides serverless access with no cluster management.
D
AWS Glue Data Catalog only
Why wrong: The Glue Data Catalog provides schema information — Athena is the query engine that uses the Glue Data Catalog and exposes JDBC/ODBC connectivity.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Athena with JDBC/ODBC drivers
Amazon Athena is a serverless interactive query service that allows you to run standard SQL directly against data stored in Amazon S3. It provides JDBC and ODBC drivers that enable BI tools like Tableau and Power BI to connect to Athena and query the S3 data lake without needing to move or transform the data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 QuickSight
Why it's wrong here
QuickSight is AWS's own BI tool — it connects to Athena, but it doesn't provide ODBC/JDBC connectivity for third-party tools like Tableau.
✓
Amazon Athena with JDBC/ODBC drivers
Why this is correct
Athena provides official JDBC and ODBC drivers enabling Tableau, Power BI, and other BI tools to query S3 data via standard SQL interfaces as if connecting to a traditional database.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon EMR with Hive
Why it's wrong here
EMR Hive can be accessed via JDBC but requires a running cluster — Athena provides serverless access with no cluster management.
✗
AWS Glue Data Catalog only
Why it's wrong here
The Glue Data Catalog provides schema information — Athena is the query engine that uses the Glue Data Catalog and exposes JDBC/ODBC connectivity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Amazon QuickSight (a visualization tool) with the query engine that provides the actual JDBC/ODBC connectivity, or think that AWS Glue Data Catalog alone enables SQL queries, when in fact Athena is the service that combines the Data Catalog with a serverless SQL engine and JDBC/ODBC support.
Detailed technical explanation
How to think about this question
Athena uses Presto under the hood, a distributed SQL query engine optimized for large-scale data in object storage. The JDBC/ODBC drivers translate BI tool queries into Athena API calls, which then execute SQL against S3 objects using schema-on-read, meaning the data remains in its native format (e.g., Parquet, CSV, JSON) without requiring ETL. A real-world scenario is connecting Tableau Desktop to Athena via the Simba Athena ODBC driver, enabling interactive dashboards on petabyte-scale S3 data lakes with pay-per-query pricing.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CLF-C02 question in full detail.
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Athena with JDBC/ODBC drivers — Amazon Athena is a serverless interactive query service that allows you to run standard SQL directly against data stored in Amazon S3. It provides JDBC and ODBC drivers that enable BI tools like Tableau and Power BI to connect to Athena and query the S3 data lake without needing to move or transform the data.
What should I do if I get this CLF-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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