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DP-300 Practice Question: Monitor, configure, and optimize database resources

You are monitoring an Azure SQL Database and notice high PAGELATCH waits. What is the most likely cause?

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

Concurrent inserts into a table with a clustered index causing last-page contention.

PAGELATCH waits indicate contention on data pages, often due to concurrent inserts to the same page, such as the last page of a clustered index. Option B is wrong because buffer pool insufficient leads to PAGEIOLATCH waits, not PAGELATCH. Option C is wrong because high CPU usage due to inefficient queries causes CPU pressure, not directly PAGELATCH waits. Option D is wrong because long-running transactions blocking other queries results in lock waits, not page latch contention.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Concurrent inserts into a table with a clustered index causing last-page contention.

    Why this is correct

    High PAGELATCH waits commonly result from hotspot contention on the last page of an index.

  • Insufficient buffer pool size leading to frequent reads from disk.

    Why it's wrong here

    That would cause PAGEIOLATCH waits.

  • High CPU usage due to inefficient queries.

    Why it's wrong here

    CPU pressure shows as SOS_SCHEDULER_YIELD waits.

  • Long-running transactions blocking other queries.

    Why it's wrong here

    Blocking is indicated by wait type LCK_M_*.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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