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| Section | Weight | Objectives |
|---|---|---|
| Container Orchestration | 22% | - Orchestration Principles
|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
| Cloud Native Observability | 8% | - Logging & Tracing
|
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NEW QUESTION # 260
What is a Dockerfile?
Answer: B
Explanation:
A Dockerfile is a text file that contains a sequence of instructions used to build a container image, so C is correct. These instructions include choosing a base image (FROM), copying files (COPY/ADD), installing dependencies (RUN), setting environment variables (ENV), defining working directories (WORKDIR), exposing ports (EXPOSE), and specifying the default startup command (CMD/ENTRYPOINT). When you run docker build (or compatible tools like BuildKit), the builder executes these instructions to produce an image composed of immutable layers.
In cloud-native application delivery, Dockerfiles (more generally, OCI image build definitions) are a key step in the supply chain. The resulting image artifact is what Kubernetes runs in Pods. Best practices include using minimal base images, pinning versions, avoiding embedding secrets, and using multi-stage builds to keep runtime images small. These practices improve security and performance, and make delivery pipelines more reliable.
Option A is incorrect because a Dockerfile is not a bash script, even though it can run shell commands through RUN. Option B is incorrect because registry destinations are handled by tooling and tagging/push commands (or CI pipeline configuration), not by the Dockerfile itself. Option D is incorrect because an image layer created by a running container is more closely related to container filesystem changes and commits; a Dockerfile is the build recipe, not a runtime-generated layer.
Although the question uses "Dockerfile," the concept maps well to OCI-based container image creation generally: you define a reproducible build recipe that produces an immutable image artifact. That artifact is then versioned, scanned, signed, stored in a registry, and deployed to Kubernetes through manifests/Helm/GitOps. Therefore, C is the correct and verified definition.
NEW QUESTION # 261
Which statement about Secrets is correct?
Answer: D
Explanation:
The correct answer is C. By default, Kubernetes Secrets store their data as base64-encoded values in the API (backed by etcd). Base64 is an encoding mechanism, not encryption, so this does not provide confidentiality. Unless you explicitly configure encryption at rest for etcd (via the API server encryption provider configuration) and secure access controls, Secret contents should be treated as potentially readable by anyone with sufficient API access or access to etcd backups.
Option A is misleading: a Secret is its own Kubernetes resource (kind: Secret). While Pods can reference Secrets (as environment variables or mounted volumes), the Secret itself is not "part of the Pod spec" as an embedded object. Option B is incorrect because Kubernetes does not automatically encrypt Secret data with a cluster private key by default; encryption at rest is optional and must be enabled. Option D is incorrect because Secrets can store a range of sensitive or semi-sensitive data (tokens, certs, passwords), but Kubernetes does not enforce "only confidential data" semantics; it's a storage mechanism with size and format constraints.
Operationally, best practices include: enabling encryption at rest, limiting access via RBAC, avoiding broad "list/get secrets" permissions, using dedicated service accounts, auditing access, and considering external secrets managers (Vault, cloud KMS-backed solutions) for higher assurance. Also, don't confuse "Secret" with "secure by default." The default protection is mainly about avoiding accidental plaintext exposure in manifests, not about cryptographic security.
So the only correct statement in the options is C.
NEW QUESTION # 262
What is CloudEvents?
Answer: A
NEW QUESTION # 263
Which set of resources can receive automatic updates from the HorizontalPodAutoscaler?
Answer: C
Explanation:
The HorizontalPodAutoscaler is designed to automatically adjust the number of replicas for workload controllers that support scaling, such as Deployments and StatefulSets, based on observed metrics like CPU or memory utilization.
NEW QUESTION # 264
What is etcd used for in Kubernetes?
Answer: C
Explanation:
etcd serves as a distributed object store that backs the Kubernetes API.
NEW QUESTION # 265
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