DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Which THREE metrics from Azure Monitor should you use to evaluate the performance of an Azure Data Lake Storage Gen2 account?
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
✓
Ingress
To evaluate the performance of an Azure Data Lake Storage Gen2 account, key metrics include Ingress (data written to the account), Success E2E Latency (end-to-end latency of successful requests), and Blob Count (total number of blobs/objects). Option A (Ingress) is correct because it measures the throughput of data entering the storage account. Option C (Success E2E Latency) is correct as it reflects the overall response time for successful operations. Option E (Blob Count) is correct because it helps assess scalability and cost. Options B (CPU Usage) and D (Available Storage Capacity) are not metrics for storage accounts; CPU is for compute resources, and capacity is a property, not a performance metric.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Ingress
Why this is correct
Measures incoming throughput.
- ✗
CPU Usage
Why it's wrong here
CPU usage is not a metric for storage accounts.
- ✓
Success E2E Latency
Why this is correct
Measures end-to-end latency of successful requests.
- ✗
Available Storage Capacity
Why it's wrong here
Storage accounts have a capacity metric, but 'Available Storage Capacity' is not a standard metric.
- ✓
Blob Count
Why this is correct
Indicates the number of blobs, useful for performance planning.
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