- A
where
Where filters rows so the query returns only failed jobs from the last 24 hours.
- B
project
Project selects the specific columns needed in the final query output.
- C
summarize
Why wrong: Summarize aggregates data, but the requirement is to list specific job records and fields.
- D
join
Why wrong: Join combines tables, which is unnecessary when filtering and shaping one log stream.
- E
extend
Why wrong: Extend creates calculated columns, but it does not by itself filter or trim output.
Question 788 of 1,170
AZ-104 Monitor and Maintain Azure Resources Practice Question
This AZ-104 practice question tests your understanding of monitor and maintain azure resources. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A backup operations team exports Recovery Services vault logs to Log Analytics. They need a query that returns only failed backup jobs from the last 24 hours and displays just the vault name, protected item name, and error description. Which two KQL operators should the query include? Select two.
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
✓
where
The `where` operator filters the Log Analytics data to include only rows where the backup job status equals 'Failed' and the timestamp falls within the last 24 hours. This is essential for narrowing down the dataset to the specific failed jobs the team needs.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
where
Why this is correct
Where filters rows so the query returns only failed jobs from the last 24 hours.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
project
Why this is correct
Project selects the specific columns needed in the final query output.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
summarize
Why it's wrong here
Summarize aggregates data, but the requirement is to list specific job records and fields.
When this WOULD be correct
If the question asked for the count of failed jobs per vault or per protected item, summarize with count() would be required to produce the aggregated result.
- ✗
join
Why it's wrong here
Join combines tables, which is unnecessary when filtering and shaping one log stream.
When this WOULD be correct
A question that asks to correlate backup job failures with the corresponding vault properties stored in a separate table, e.g., 'Return the vault name and error description for failed jobs, joining the backup jobs table with the vault metadata table on vault ID.'
- ✗
extend
Why it's wrong here
Extend creates calculated columns, but it does not by itself filter or trim output.
When this WOULD be correct
A question that asks to add a new column, such as calculating the duration of backup jobs from start and end times, would require 'extend'.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AZ-104 exam frequently reuses these exact scenarios with slightly different constraints.
✓whereCorrect answer▾
Why this is correct
Where filters rows so the query returns only failed jobs from the last 24 hours.
✗summarizeWrong answer — click to see why▾
Why this is wrong here
The query needs to filter rows (where) and select columns (project), not aggregate data. summarize would group rows and compute aggregates, which is unnecessary for simply listing failed jobs.
★ When this WOULD be the correct answer
If the question asked for the count of failed jobs per vault or per protected item, summarize with count() would be required to produce the aggregated result.
Why candidates choose this
Candidates may think summarize is needed to 'summarize' the error descriptions, but the requirement is to list individual failed jobs, not aggregate them.
✗joinWrong answer — click to see why▾
Why this is wrong here
The query only needs data from a single table (the backup jobs log), so there is no need to combine rows from two tables. The 'join' operator is used to merge rows from multiple tables based on a key, which is irrelevant here.
★ When this WOULD be the correct answer
A question that asks to correlate backup job failures with the corresponding vault properties stored in a separate table, e.g., 'Return the vault name and error description for failed jobs, joining the backup jobs table with the vault metadata table on vault ID.'
Why candidates choose this
Candidates may mistakenly think that because the query involves multiple data points (vault name, protected item, error), they need to join tables, not realizing all required fields are already in the same log table.
✗extendWrong answer — click to see why▾
Why this is wrong here
The 'extend' operator adds a new calculated column to the result set, but the question only requires filtering existing columns and selecting specific columns, not creating new ones.
★ When this WOULD be the correct answer
A question that asks to add a new column, such as calculating the duration of backup jobs from start and end times, would require 'extend'.
Why candidates choose this
Candidates may think they need to 'extend' the query to include error descriptions, but the error description is already present in the source data and just needs to be projected.
Analysis generated from the official AZ-104blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse `extend` with `project`—both can manipulate columns, but only `project` drops all unlisted columns, while `extend` keeps all original columns and adds new ones, failing to limit the output to the required fields.
Trap categories for this question
Command / output trap
Extend creates calculated columns, but it does not by itself filter or trim output.
Detailed technical explanation
How to think about this question
Under the hood, Log Analytics queries execute in a pipeline where `where` applies a predicate to each row, leveraging the Kusto indexing engine for efficient time-range filtering. The `project` operator then reduces the schema to only the specified columns (e.g., VaultName, ProtectedItemName, ErrorDescription), which minimizes data transfer and speeds up result rendering. In real-world scenarios, failing to use `project` can expose sensitive or irrelevant fields, increasing query cost and latency.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AZ-104 question test?
Monitor and Maintain Azure Resources — This question tests Monitor and Maintain Azure Resources — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: where — The `where` operator filters the Log Analytics data to include only rows where the backup job status equals 'Failed' and the timestamp falls within the last 24 hours. This is essential for narrowing down the dataset to the specific failed jobs the team needs.
What should I do if I get this AZ-104 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 11, 2026
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