- A
Store secrets in a Kubernetes ConfigMap and reference them in the deployment YAML.
Why wrong: ConfigMaps are not designed for secrets and are not encrypted.
- B
Use Azure Key Vault Provider for Secrets Store CSI Driver to mount secrets as volumes in pods.
This provides secure, managed secret injection with automatic rotation.
- C
Define secrets in a Kubernetes Secret object and reference them in the pod spec.
Why wrong: Kubernetes Secrets are base64 encoded but not encrypted by default and require RBAC management.
- D
Hardcode the connection string in an environment variable in the deployment manifest.
Why wrong: This exposes secrets in plaintext and is insecure.
Quick Answer
The answer is to use the Azure Key Vault Provider for Secrets Store CSI Driver to mount secrets as volumes in pods. This is correct because the driver integrates directly with AKS to inject secrets from Azure Key Vault into pods as mounted volumes or environment variables, ensuring sensitive database connection strings never reside in container images or Kubernetes objects, while Azure Key Vault handles the entire secret lifecycle with minimal management overhead. On the Microsoft Cybersecurity Architect exam, this scenario tests your understanding of secure secret injection without manual Kubernetes Secrets management—a common trap is choosing to store secrets in Kubernetes Secrets or using a sidecar container, which adds operational burden. Remember the memory tip: “CSI mounts, Key Vault counts” to recall that the CSI driver mounts secrets directly from Key Vault, eliminating manual steps.
SC-100 Design a strategy for data and applications Practice Question
This SC-100 practice question tests your understanding of design a strategy for data and applications. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company is designing an application architecture using Azure Kubernetes Service (AKS) and Azure Cosmos DB. The application requires that secrets (database connection strings) be injected into pods securely without storing them in the container image. The solution must minimize management overhead. What is the recommended approach?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Use Azure Key Vault Provider for Secrets Store CSI Driver to mount secrets as volumes in pods.
Option B is correct because the Azure Key Vault Provider for Secrets Store CSI Driver integrates directly with AKS to securely inject secrets from Azure Key Vault into pods as mounted volumes or environment variables, without storing them in container images or Kubernetes objects. This approach minimizes management overhead by leveraging Azure-managed Key Vault for secret lifecycle management and avoids the operational burden of manually managing Kubernetes Secrets.
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.
- ✗
Store secrets in a Kubernetes ConfigMap and reference them in the deployment YAML.
Why it's wrong here
ConfigMaps are not designed for secrets and are not encrypted.
- ✓
Use Azure Key Vault Provider for Secrets Store CSI Driver to mount secrets as volumes in pods.
Why this is correct
This provides secure, managed secret injection with automatic rotation.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Define secrets in a Kubernetes Secret object and reference them in the pod spec.
Why it's wrong here
Kubernetes Secrets are base64 encoded but not encrypted by default and require RBAC management.
- ✗
Hardcode the connection string in an environment variable in the deployment manifest.
Why it's wrong here
This exposes secrets in plaintext and is insecure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume Kubernetes Secrets are inherently secure because they are base64-encoded, but the exam tests the understanding that Secrets are only obfuscated, not encrypted by default, and that a managed external secrets store like Azure Key Vault is the recommended pattern for production-grade secret management with minimal overhead.
Detailed technical explanation
How to think about this question
The Secrets Store CSI Driver uses a provider-specific gRPC interface to fetch secrets from Azure Key Vault at pod startup, mounting them as tmpfs volumes (in-memory) to avoid writing to disk. Under the hood, the driver authenticates to Key Vault via AKS-managed identity (or service principal) and retrieves secrets using the Azure Key Vault REST API, supporting automatic rotation when the driver polls for changes (configurable interval). In a real-world scenario, this approach ensures that if a database connection string is rotated in Key Vault, pods can be restarted or use driver-sidecar patterns to pick up the new value without redeploying manifests.
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 SC-100 question test?
Design a strategy for data and applications — This question tests Design a strategy for data and applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure Key Vault Provider for Secrets Store CSI Driver to mount secrets as volumes in pods. — Option B is correct because the Azure Key Vault Provider for Secrets Store CSI Driver integrates directly with AKS to securely inject secrets from Azure Key Vault into pods as mounted volumes or environment variables, without storing them in container images or Kubernetes objects. This approach minimizes management overhead by leveraging Azure-managed Key Vault for secret lifecycle management and avoids the operational burden of manually managing Kubernetes Secrets.
What should I do if I get this SC-100 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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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