DEA-C01 Data Store Management Practice Question
Exhibit
Refer to the exhibit.
{
"Tables": [
{
"Name": "sales",
"Type": "EXTERNAL_TABLE",
"Parameters": {
"EXTERNAL": "TRUE",
"classification": "csv"
},
"StorageDescriptor": {
"Location": "s3://data-lake/sales/",
"InputFormat": "org.apache.hadoop.mapred.TextInputFormat",
"OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat",
"SerdeInfo": {
"SerializationLib": "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe",
"Parameters": {
"field.delim": ","
}
}
}
}
]
}A data engineer sees this AWS Glue table definition in the Data Catalog. The engineer wants to query this table with Amazon Athena, but the query returns zero rows. What is the MOST likely cause?
⚠ Common exam trap
Watch out — candidates often assume the issue is with the SerDe or format compatibility, but the most common real-world cause is simply that the data files are not present at the specified S3 location, leading to zero rows returned.
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
✓
The data files are not in the specified S3 location.
The most likely cause is that the data files are not in the specified S3 location. When an AWS Glue table is defined in the Data Catalog, Athena reads the table's metadata (including the S3 location) and then attempts to read the underlying data files from that exact path. If the files are missing, misnamed, or in a different prefix, Athena returns zero rows because there is no data to scan. This is a common misconfiguration when the S3 path in the table definition does not match the actual data storage.
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 data files are not in the specified S3 location.
Why this is correct
If no files exist at s3://data-lake/sales/, query returns zero rows.
- ✗
The SerDe library is incorrect for CSV files.
Why it's wrong here
LazySimpleSerDe works with CSV.
- ✗
The table format CSV is not supported by Athena.
Why it's wrong here
Athena supports CSV.
- ✗
Athena cannot read tables from the Glue Data Catalog.
Why it's wrong here
Athena integrates with Glue Data Catalog.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.