Monitor and Optimize ADLS Gen2 Performance — Methods and Metrics
You need to monitor the health of your Azure Data Lake Storage Gen2 account. Which metric should you use to track the number of successful and failed requests?
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
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Transactions.
Transactions metric tracks all requests. Option B is wrong because Success E2E Latency measures latency, not count. Option C is wrong because Blob Capacity measures storage size. Option D is wrong because Ingress is about data incoming, not request count.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Transactions.
Why this is correct
Transactions counts the total number of successful and failed requests against the storage account, directly satisfying the health-monitoring requirement. It is the only metric that surfaces both outcomes, letting you alert on failure spikes without enabling diagnostic logging.
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Success E2E Latency.
Why it's wrong here
Success E2E Latency measures end-to-end request duration in milliseconds, not request counts, so it cannot report successful versus failed totals. It is tempting because latency monitoring does surface degraded storage health, and it would be the right metric when diagnosing slow Data Lake Gen2 response times rather than request outcomes.
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Blob Capacity.
Why it's wrong here
Blob Capacity reports stored bytes per container, giving no count of successful or failed requests. It is tempting because capacity growth can indicate ingestion activity, and it would be correct when tracking storage consumption, quota breaches or unexpected data accumulation in the Data Lake Gen2 account.
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Ingress.
Why it's wrong here
Ingress measures the volume of incoming data in bytes, not the number of requests or their success status. It is tempting because rising ingress suggests active writes, and it would be the right metric when monitoring incoming data throughput or bandwidth consumption on the Data Lake Gen2 account.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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