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Monitor, configure, and optimize database resourcesmediumMultiple ChoiceObjective-mapped

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

You are managing an Azure SQL Database that experiences intermittent performance degradation. Query Store shows a significant increase in wait time for PAGEIOLATCH_SH. You need to identify the most likely cause. What should you investigate first?

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

Insufficient IOPS or throughput at the database level

PAGEIOLATCH_SH waits indicate I/O subsystem pressure, often due to insufficient IOPS or throughput. Option A is incorrect because out-of-date statistics cause cardinality estimation errors, not I/O waits. Option C is incorrect because missing indexes typically cause table scans but not necessarily PAGEIOLATCH waits. Option D is incorrect because blocking causes waits like LCK_M_*, not PAGEIOLATCH.

Answer analysis

Option-by-option breakdown

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

  • Out-of-date statistics

    Why it's wrong here

    Out-of-date statistics cause cardinality estimation errors, not I/O waits. Therefore, this is incorrect.

  • Insufficient IOPS or throughput at the database level

    Why this is correct

    PAGEIOLATCH_SH waits indicate I/O subsystem pressure, often due to insufficient IOPS or throughput.

  • Missing indexes

    Why it's wrong here

    Missing indexes typically cause table scans but not necessarily PAGEIOLATCH_SH waits. Therefore, this is incorrect.

  • Blocking from long-running transactions

    Why it's wrong here

    Blocking causes waits like LCK_M_*, not PAGEIOLATCH.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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