Which dynamic management view can help identify memory-heavy columns loaded into memory in a Direct Lake model?

Prepare for the Fabric Analytics Engineer Associate Test with comprehensive materials. Explore flashcards, multiple choice questions, and detailed explanations. Get ready for your success!

Multiple Choice

Which dynamic management view can help identify memory-heavy columns loaded into memory in a Direct Lake model?

Explanation:
The test is about detecting memory usage at the column level when a Direct Lake model loads data. Direct Lake can bring data into memory for query processing, and to see which parts of a table are consuming memory, you need visibility down to the column segments. The dynamic management view that reports memory usage by each column segment is the one designed for this: it shows details at the column level so you can identify which columns are loading heavy memory. That’s why this view is the best fit. Other options focus on different aspects: the table-level metadata view lists tables but not memory by column; the memory grants view shows how memory is allocated for queries, not which columns are in memory; and the general memory usage view reports overall usage rather than per-column storage footprint.

The test is about detecting memory usage at the column level when a Direct Lake model loads data. Direct Lake can bring data into memory for query processing, and to see which parts of a table are consuming memory, you need visibility down to the column segments. The dynamic management view that reports memory usage by each column segment is the one designed for this: it shows details at the column level so you can identify which columns are loading heavy memory. That’s why this view is the best fit.

Other options focus on different aspects: the table-level metadata view lists tables but not memory by column; the memory grants view shows how memory is allocated for queries, not which columns are in memory; and the general memory usage view reports overall usage rather than per-column storage footprint.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy