Question 489 of 835
mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A machine learning engineer has configured a…
Exhibit
Refer to the exhibit.
SageMaker Model Monitor schedule configuration:
```
{
"ScheduleConfig": {
"ScheduleExpression": "cron(0 * * * ? *)",
"DataAnalysisStartTime": "2023-01-01T00:00:00Z",
"DataAnalysisEndTime": "2023-01-01T23:59:00Z"
},
"JobDefinition": {
"Environment": {
"output_path": "s3://my-bucket/reports/"
}
},
"MonitoringType": "DataQuality"
}
```A machine learning engineer has configured a SageMaker Model Monitor schedule for data quality monitoring as shown in the exhibit. The schedule is set to run hourly. However, the engineer notices that the monitoring jobs are not producing output in the specified S3 bucket. What is the most likely cause?
⚠ Common exam trap
The trap here is that candidates often overlook the significance of the DataAnalysisStartTime and DataAnalysisEndTime parameters, assuming they are optional or default to the current time, when in fact they strictly define the data range and can cause silent failures if set to a past date.
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
✓
The DataAnalysisStartTime and DataAnalysisEndTime are set to a past date, so no data is analyzed.
The DataAnalysisStartTime and DataAnalysisEndTime parameters define the time window for which SageMaker Model Monitor analyzes data. When both are set to a past date that has already passed, the monitoring job finds no new data to analyze within that window, resulting in no output being written to the S3 bucket. The schedule runs hourly, but the analysis window is fixed to a historical period, so each execution produces no results.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The output_path is incorrectly placed; it should be under the MonitoringOutputConfig.
Why it's wrong here
The output_path is placed in the Environment, which is acceptable; however, that may not be the cause of missing output.
- ✓
The DataAnalysisStartTime and DataAnalysisEndTime are set to a past date, so no data is analyzed.
Why this is correct
The monitoring job looks for data within the specified time range; if it's in the past and no data exists, no output is produced.
- ✗
The MonitoringType should be 'ModelQuality' to enable data quality monitoring.
Why it's wrong here
'DataQuality' is a valid monitoring type for data quality.
- ✗
The cron expression is incorrectly formatted for an hourly schedule.
Why it's wrong here
The cron expression 'cron(0 * * * ? *)' is correct for running at the start of every hour.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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 →
Last reviewed: Jun 24, 2026
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLA-C01 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.