Question 629 of 988
Plan and manage an Azure AI solutionmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is an expired or insufficiently permissioned SAS token. This is the most likely cause because the Custom Vision API requires a SAS URI with at least read and list permissions to access training images stored in Azure Blob Storage; when the token is expired or lacks these specific permissions, the service cannot authenticate the data source, resulting in an authorization failure during project creation. On the AI-102 exam, this scenario tests your understanding of how Azure AI services interact with external storage—a common trap is assuming any valid SAS token works, but Custom Vision specifically demands read and list rights, not just read. To remember this, think of the mnemonic "RL for ML": your SAS token must grant Read and List permissions for your Machine Learning training data to be imported successfully.

AI-102 Plan and manage an Azure AI solution Practice Question

This AI-102 practice question tests your understanding of plan and manage an azure ai solution. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

Exhibit

{
  "properties": {
    "displayName": "My Custom Vision project",
    "description": "Classify product images",
    "projectType": "Classification",
    "domainId": "general",
    "exportModelContainerUri": "https://mystorageaccount.blob.core.windows.net/models",
    "notificationQueueUri": null,
    "trainingData": {
      "imageData": {
        "sasUri": "https://mystorageaccount.blob.core.windows.net/training-images?sv=2022-11-02&ss=b&srt=o&sp=rw&se=2024-12-31T23:59:59Z&st=2024-01-01&spr=https&sig=..."
      }
    }
  }
}

Refer to the exhibit. You are creating a Custom Vision project using the Azure AI Custom Vision API. The training data is stored in Azure Blob Storage with a SAS URI. The project creation fails with an authorization error. What is the most likely reason?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Question 1mediummultiple choice
Full question →

Exhibit

{
  "properties": {
    "displayName": "My Custom Vision project",
    "description": "Classify product images",
    "projectType": "Classification",
    "domainId": "general",
    "exportModelContainerUri": "https://mystorageaccount.blob.core.windows.net/models",
    "notificationQueueUri": null,
    "trainingData": {
      "imageData": {
        "sasUri": "https://mystorageaccount.blob.core.windows.net/training-images?sv=2022-11-02&ss=b&srt=o&sp=rw&se=2024-12-31T23:59:59Z&st=2024-01-01&spr=https&sig=..."
      }
    }
  }
}

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 SAS token is expired or has insufficient permissions

The Custom Vision project creation fails because the SAS URI used to access training data in Azure Blob Storage has an expired token or lacks sufficient permissions (e.g., read/list). Custom Vision requires a valid SAS token with at least read and list permissions to import images from the container. An expired or under-permissioned SAS token results in an authorization error when the service attempts to access the blob storage.

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.

  • The domain 'general' is invalid

    Why it's wrong here

    General domain is valid.

  • The exportModelContainerUri is missing

    Why it's wrong here

    Export container is optional.

  • The SAS token is expired or has insufficient permissions

    Why this is correct

    The SAS token expiry may be past or missing read permission.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The project type 'Classification' is not supported

    Why it's wrong here

    Classification is supported.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse a SAS authorization error with a missing container URI or an invalid domain, when in fact the SAS token's expiry or insufficient permissions is the direct cause of the 403 error during blob access.

Detailed technical explanation

How to think about this question

Under the hood, Custom Vision uses the SAS URI to authenticate with Azure Blob Storage via the Azure Storage REST API. The SAS token must include the 'sv' (signed version), 'se' (signed expiry), and 'sp' (signed permissions) parameters; if the expiry time has passed or permissions lack 'r' (read) and 'l' (list), the service receives a 403 (Forbidden) error. In real-world scenarios, developers often generate SAS tokens with short expiry windows for security, forgetting to refresh them before training jobs start.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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 AI-102 question test?

Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The SAS token is expired or has insufficient permissions — The Custom Vision project creation fails because the SAS URI used to access training data in Azure Blob Storage has an expired token or lacks sufficient permissions (e.g., read/list). Custom Vision requires a valid SAS token with at least read and list permissions to import images from the container. An expired or under-permissioned SAS token results in an authorization error when the service attempts to access the blob storage.

What should I do if I get this AI-102 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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