AZ-204 Exam Discussions & Posts
AI Explanation - verified by u2fuadk0x
on: June 25, 2026
Question 96:
In question 96, the goal is zero-downtime updates for an Azure Container Apps microservice.
The correct approach is to: Enable multiple revision mode.
Why:
- In multiple revision mode, you can run several revisions of the app at the same time.
- Deploying a new revision doesn’t take down the old one; you can gradually (or instantly) route traffic to the new revision.
- If issues arise, you can roll back by shifting traffic back to the previous revision, avoiding downtime.
Why the other options aren’t correct for zero downtime:
- Single revision mode would swap the running revision during an update, risking downtime.
- Using multiple environments for each container, or a private registry/single image, or a single environment, doesn’t address traffic management during upgrades.
So the key concept is: use multiple revision mode to enable safe, zero-downtime deployments with traffic routing between revisions.
Asnières-Sur-Seine, France
AI Explanation - verified by rajasree4525
on: June 25, 2026
Question 164:
I can explain the concept behind Q164. I can’t view the [Image], but here’s how to reason it.
- Key constraint: Azure Cosmos DB for NoSQL has a maximum item (document) size of 2 MB. The error “413 Entity too large” means the item you’re uploading would exceed this limit.
- Implication: If you’re uploading multiple files as separate items, each file must be <= 2 MB. Files larger than 2 MB cannot be uploaded as a single document.
- Given the provided answer key (B: File1 and File2 only), that means File1 and File2 are <= 2 MB, while File3, File4, and File5 exceed the limit.
If you want to verify yourself, check the sizes of File1–File5 and confirm which are under 2 MB. If you need to store larger data, consider keeping large binaries in Blob Storage and store references (URIs) in Cosmos DB.
Pathanamthitta, India
AI Explanation - verified by User3233
on: June 24, 2026
Question 22:
Question 22 asks how to enable regular expression searches in Azure Search.
- Correct answer: B — Configure the
QueryType property of the SearchParameters class.
- Why: The
QueryType determines the query syntax. The default is simple; set it to full to use the Lucene query syntax, which supports advanced forms like wildcard, fuzzy, proximity, and regular expressions.
- Why the others are not correct:
- A. SearchMode controls how terms are combined (any/all), not regex capability.
- C. Facets is for returning facet counts, not enabling regex.
- D. Filter applies boolean filter expressions, not enabling Lucene regex syntax.
Example (conceptual):
SearchParameters sp = new SearchParameters { QueryType = QueryType.Full };
Melissa, United States
AI Explanation - verified by User3233
on: June 24, 2026
Question 17:
Here’s a focused explanation of Question 17.
- Scenario recap: You’re building a web app that serves streaming video, uses CI/CD, and you want high availability, a smooth streaming experience, and data stored close to users. The proposed solution is to include the use of
Azure Redis Cache in the design. The question asks if this solution meets the goal (Yes/No).
- What Redis Cache does: It provides fast in-memory caching to improve performance and reduce latency for frequently accessed data.
- Why this alone doesn’t meet the goal:
- High availability across regions and constant streaming quality require more than a regional cache. You typically need global delivery and failover mechanisms, not just a cache.
- Storing data “nearest to the user” suggests geo-distributed storage or a content delivery approach. A cache by itself does not guarantee locality or multi-region data freshness.
- For streaming and global users, CDN or edge services (and possibly multi-region storage) are the standard approach to ensure low latency and availability.
- Conclusion: The solution does not meet the goal. The correct answer is B (No). For global performance, you’d combine CDNs, global load balancing (e.g., Front Door/Traffic Manager), and geo-distributed storage rather than relying solely on a single regional cache.
Melissa, United States
AI Explanation - verified by User2146
on: June 21, 2026
Question 37:
Question 37 asks how to run two Docker containers in Azure Container Instances (ACI) with shared, persistent storage, non-root users, and YAML-based deployment.
Key concepts to meet the requirements:
- Put both containers in a single container group so they share lifecycle, resources, and the local network.
- Use a shared, persistent storage volume backed by Azure File share (azureFile) so data survives container crashes and container restarts.
- Mount the same volume into both containers (volumeMounts) so they can share data and state.
- Ensure containers do not run as root (set non-root user in each container, typically via securityContext with runAsNonRoot: true and runAsUser: <non-root UID>).
Why azureFile?
- Ephemeral volumes (like emptyDir) disappear when containers crash or stop.
- Azure File shares persist independently of container lifecycle, satisfying the persistence and restart requirements.
Example approach (high level):
- Create a container group with two containers.
- Define a volume named, for example, sharedvolume, of type azureFile (provide shareName, storageAccountName, and access details).
- In both containers, mount sharedvolume at the same path (e.g., /data).
- For each container, set securityContext to runAsNonRoot and a non-root runAsUser.
Sample (conceptual):
- containers: [ container1, container2 ]
- volumeMounts: [ { name: sharedvolume, mountPath: /data } ]
- volumes: [ { name: sharedvolume, azureFile: { shareName: "myshare", storageAccountName: "mystorage", storageAccountKey: "...", readOnly: false } } ]
- securityContext for each container: runAsNonRoot: true, runAsUser: 1000
By using a single cont
Bengaluru, India
AI Explanation - verified by User8492
on: June 20, 2026
Question 56:
Why the solution doesn’t meet the goal:
- The problem is a long-running, HTTP-triggered function that times out after about four minutes. Merely enabling Always On on an App Service plan doesn’t remove this timeout or ensure blob processing completes.
- Best practice is to decouple long-running work from the HTTP trigger. Instead, pass the HTTP trigger payload into a queue (Azure Service Bus or Storage Queue) and return an immediate success response to the caller. A separate function, triggered by the queue, processes the blob data asynchronously.
- This approach avoids timeouts, improves reliability, and scales better. It also aligns with the guidance to break large functions into smaller, cooperating units and to use asynchronous patterns (e.g., queue-triggered processing or, optionally, Durable Functions for orchestrations).
Key concept:
- Don’t perform lengthy processing inside an HTTP-triggered function. Use asynchronous processing via queues or durable workflows.
Pune, India
AI Explanation - verified by User1801
on: June 10, 2026
Question 19:
Question 19 asks whether including a Storage Area Network (SAN) meets the goal of a highly available streaming web app with constant user experience and data stored in the geographic location nearest to the user. Correct answer: B (No).
Why SAN doesn’t meet the goal:
- A SAN is centralized storage used by servers in a data center. It provides high-performance storage within a single site, not geo-distribution or edge delivery.
- It does not inherently provide data locality near end users or edge caching to reduce latency for streaming.
- High availability across regions and a consistent streaming experience for users worldwide require geo-distributed deployment, load balancing, and content delivery at the edge.
What to use instead:
- Use a Content Delivery Network (CDN) to serve streaming content from edge locations close to users.
- Store data in a geo-distributed or multi-region setup (e.g., Azure Storage with geo-redundant options) and deploy your app across multiple regions.
- Combine CDN with multi-region deployments and appropriate storage redundancy to meet both availability and latency requirements.
In short: SAN is not suitable for nearest-to-user data storage or global low-latency streaming; CDN and geo-distributed storage are the right approaches.
Alappuzha, India
Shailendu Dwivedi
on: April 28, 2026
It is really helpful
Noida, India
Community-Verified AI Explanation
on: April 26, 2026
Question 59:
- The correct command order (to satisfy “call setupScript.ps1 when built” and “run ContosoApp.dll when the container starts”) is:
- FROM microsoft/aspnetcore-build:latest
- WORKDIR /apps/ContosoApp
- COPY ./ .
- RUN powershell ./setupScript.ps1
- CMD ["dotnet","ContosoApp.dll"]
- FROM sets the base image for building the app.
- WORKDIR defines the working directory inside the container.
- COPY brings your local files (including ContosoApp.dll and setupScript.ps1) into the image.
- RUN powershell ./setupScript.ps1 runs at build time to prepare the environment.
- CMD ["dotnet","ContosoApp.dll"] starts the application when the container runs.
Munich, Germany
Muhammad Umair Khan Ghouri
on: January 23, 2026
Correct Sequence for Q284 is
Create a Log Analytics workspace
This is the central store for logs and metrics collected by Azure Monitor.
Create an Application Insights resource
Application Insights collects application-level logs and telemetry and integrates with Azure Monitor (and the Log Analytics workspace).
Add a VMInsights solution
VM Insights uses the Log Analytics workspace to collect performance and dependency data from the VMs.
Install agents on the VM and VM scale set to be monitored
The Azure Monitor agent (or legacy agents) must be installed to actually send data from the VMs to Azure Monitor.
Anonymous
Muhammad Umair Khan Ghouri
on: January 23, 2026
Correct Answer for Q319 is
Decrease the value of maxmemory-reserved.
Anonymous
Abdullah
on: January 15, 2026
I found them from their Reddit site at: https://www.reddit.com/r/AzureExamPrep
I Just joined the group and they sent me the link to full version of the exam questions.
Thanks Team.
European Union
Mukesh
on: December 25, 2025
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UNITED STATES
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on: November 27, 2025
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ROMANIA
Jack
on: November 20, 2025
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Anonymous
Bob
on: October 22, 2025
Think the questions are shuffled right now and the questions from 300 is appearing after 1st. But it is a great source for preparing exam
Anonymous
4EverTech
on: September 15, 2025
I just wrote this exam. It is not easy. I suggest you guys focus on Azure SDKs, CI/CD, and security. Then Build and deploy sample apps, master APIs. By doing this I scored 94%, totally worth it!
UNITED STATES
Ranses
on: September 04, 2025
Questão 37:
Shared lifecycle : Container group
Storage volume: Cloned Git repo
BRAZIL
Felix
on: August 27, 2025
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UNITED KINGDOM
Rere
on: August 21, 2025
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UNITED KINGDOM
mario
on: August 05, 2025
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BRAZIL
Sam
on: August 01, 2025
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Anonymous
Sam
on: August 01, 2025
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Anonymous
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on: July 22, 2025
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on: July 21, 2025
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Anonymous
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on: July 19, 2025
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Anonymous
unknown user
on: June 25, 2025
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UNITED STATES
PHP
on: June 22, 2025
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Anonymous
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on: June 12, 2025
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on: June 11, 2025
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Anonymous
balmiki
on: June 05, 2025
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Anonymous
Sokhdeep
on: May 28, 2025
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India
Ena
on: May 28, 2025
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JAPAN
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on: May 25, 2025
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on: May 12, 2025
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Anonymous
Jalil
on: March 20, 2025
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Anonymous
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on: December 08, 2024
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Anonymous
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on: December 08, 2024
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Anonymous
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on: December 04, 2024
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Anonymous
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on: December 01, 2024
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Anonymous
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on: February 16, 2025
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INDIA
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on: February 13, 2025
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Anonymous
Ni
on: February 13, 2025
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Anonymous
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on: February 12, 2025
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Anonymous
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on: January 31, 2025
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Anonymous
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on: December 05, 2024
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INDIA
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on: December 05, 2024
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Anonymous
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on: February 25, 2025
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on: March 02, 2025
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on: March 04, 2025
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Anonymous