The answer is that the most likely cause of the HIVE_INVALID_PARTITION error is a partition folder in S3 being deleted or moved while the table metadata still references it. This happens because Amazon Athena relies on the AWS Glue Data Catalog (or Hive metastore) to locate data files; when a partition folder is removed from S3 without updating the corresponding metadata entry, Athena attempts to read from a location that no longer exists, causing the query to fail. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of the tight coupling between the Glue Catalog and S3 storage, often appearing as a trap where candidates mistakenly blame schema mismatches or file format issues. A reliable memory tip is to think of the metadata as a map and S3 as the territory—if you delete a landmark (partition folder) without erasing the map entry, you’ll get lost, or in this case, an invalid partition error.
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 is using Amazon Athena to query data stored in S3. Queries are failing with 'HIVE_INVALID_PARTITION' errors. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
A partition folder in S3 has been deleted or moved, but the table metadata still references it.
The 'HIVE_INVALID_PARTITION' error in Amazon Athena occurs when the table's partition metadata in the AWS Glue Data Catalog (or Hive metastore) references a partition folder that no longer exists in the S3 bucket. Athena relies on the metadata to locate data files; if a partition folder is deleted or moved without updating the metadata, queries fail because Athena cannot find the expected data location.
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.
✗
The S3 bucket is configured with a bucket policy that denies access to the Athena service.
Why it's wrong here
Would cause access denied, not partition error.
✓
A partition folder in S3 has been deleted or moved, but the table metadata still references it.
Why this is correct
Athena expects all partitions to exist.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The data is compressed with gzip, but the table definition expects uncompressed data.
Why it's wrong here
Athena supports gzip transparently.
✗
The data files are in CSV format but the table definition expects Parquet.
Why it's wrong here
Would cause data type mismatch error, not partition error.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse permission errors (like S3 bucket policies) with metadata consistency errors, or assume compression or format mismatches cause partition-specific errors, when in reality 'HIVE_INVALID_PARTITION' is a direct indicator of a stale or missing partition folder in the catalog.
Detailed technical explanation
How to think about this question
Athena uses the AWS Glue Data Catalog to store partition metadata, which includes the S3 location path for each partition. When a query runs, Athena performs a partition pruning step using this metadata; if the physical folder is missing, it throws 'HIVE_INVALID_PARTITION'. This often happens after lifecycle policies archive or delete old partition folders, or when ETL jobs reorganize data without running MSCK REPAIR TABLE or ALTER TABLE ADD PARTITION to sync the catalog.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A partition folder in S3 has been deleted or moved, but the table metadata still references it. — The 'HIVE_INVALID_PARTITION' error in Amazon Athena occurs when the table's partition metadata in the AWS Glue Data Catalog (or Hive metastore) references a partition folder that no longer exists in the S3 bucket. Athena relies on the metadata to locate data files; if a partition folder is deleted or moved without updating the metadata, queries fail because Athena cannot find the expected data location.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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