MLS-C01 Exploratory Data Analysis Practice Question
Network Topology
Refer to the exhibit. A data scientist plans to read this CSV file into memory for exploratory data analysis using pandas. The instance has 8 GB of RAM. What is the MOST likely issue the scientist will encounter?
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 file is too large to load into memory on this instance
The file size is approximately 1 GB (1073741824 bytes = 1 GB), and pandas typically requires 3-5x the file size in memory for CSV parsing, which would exceed the 8 GB RAM. Option A is wrong because pandas can handle 10 million rows; the issue is memory, not row count. Option C is wrong because the ContentType is text/csv, so it is indeed CSV format. Option D is wrong because there is no indication of permission issues (HTTP 200).
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 file contains too many rows for pandas to handle
Why it's wrong here
Pandas can handle 10 million rows if memory allows, but the file size is the bottleneck.
- ✓
The file is too large to load into memory on this instance
Why this is correct
1 GB CSV file may require >8 GB RAM when loading into pandas.
- ✗
The file is not in CSV format despite the ContentType
Why it's wrong here
ContentType indicates CSV.
- ✗
The file is not accessible because of insufficient permissions
Why it's wrong here
The s3api head-object succeeded, so permissions are fine.
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