hardMultiple ChoiceObjective-mapped
DP-203 Practice Question: A company uses Azure Data Lake Storage Gen2 with…
A company uses Azure Data Lake Storage Gen2 with Azure Databricks. They notice that the job to write data into Delta Lake tables takes too long. The data is coming from a streaming source with a high velocity of small writes. Which approach should be taken to optimize write performance?
⚠ Common exam trap
Many exam-takers choose 'auto optimize' and 'optimized writes' (Option C) thinking they solve small file problems proactively, but these features are reactive compaction mechanisms that add overhead and do not reduce the frequency of log commits during streaming.
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
✓
Configure the streaming to write in micro-batches with a higher trigger interval.
Increasing the trigger interval for micro-batches reduces the frequency of writes, allowing more data to accumulate per batch. This minimizes the overhead of small file commits and metadata operations in Delta Lake, which is the primary bottleneck for high-velocity streaming writes. By batching more records together, the job writes fewer, larger files, improving overall throughput.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure the streaming to write in micro-batches with a higher trigger interval.
Why this is correct
Batching reduces the number of small file writes.
- ✗
Increase the cluster size to 16 nodes.
Why it's wrong here
Scaling up may help but not as effectively as reducing transaction overhead.
- ✗
Enable 'auto optimize' and 'optimized writes' on the Delta table.
Why it's wrong here
These features optimize after write, not during.
- ✗
Change the output format from Delta to Parquet.
Why it's wrong here
Delta is built on Parquet; change wouldn't help.
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Senior Network & Security Engineer · founder of Courseiva
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