Microsoft AZ-120 Exam Prep Course (Premium File)
AI-Powered Planning and Administering Microsoft Azure for SAP Workloads Exam - Pass on Your First Try

Last updated on Jun 23, 2026

 AZ-120 Practice Exam
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All Planning and Administering Microsoft Azure for SAP Workloads certification learning material, study guide, training courses are created by a team of Microsoft training experts. The Study Guide and .EXM training software files contain relevant Planning and Administering Microsoft Azure for SAP Workloads content, labs, practice questions and explanation. This AZ-120 exam guide and training courses is based on the latest exam outlines available!

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Preparing and Passing the Microsoft AZ-120 Exam: A Comprehensive Guide

As a student aspiring to achieve success in the Microsoft AZ-120 Exam, it is crucial to have a well-rounded understanding of the exam objectives, study resources, and effective preparation strategies. This article aims to provide you with accurate and up-to-date details about the AZ-120 Exam, along with actionable tips to help you pass with flying colors.

About the Microsoft AZ-120 Exam

The Microsoft AZ-120 Exam, also known as the "Planning and Administering Microsoft Azure for SAP Workloads" exam, focuses on evaluating the knowledge and skills required to plan, deploy, and manage Azure solutions for SAP workloads. It is designed for IT professionals who are responsible for integrating SAP solutions with Microsoft Azure.

Exam Details

  • Exam Code: AZ-120
  • Exam Title: Planning and Administering Microsoft Azure for SAP Workloads
  • Exam Language: English
  • Exam Format: Multiple choice and scenario-based questions
  • Exam Duration: 150 minutes
  • Exam Cost: Check the official Microsoft website for the most up-to-date pricing information

Exam Objectives

The AZ-120 Exam covers the following key areas:

  1. Implement and Configure Azure Infrastructure for SAP Workloads
  2. Deploy and Manage SAP Workloads on Azure
  3. Monitor and Troubleshoot Azure Solutions for SAP Workloads
  4. Design and Implement Disaster Recovery and High Availability for SAP Workloads

Tips for Exam Preparation

1. Understand the Exam Objectives

Thoroughly review the exam objectives provided by Microsoft. Take the time to understand the knowledge and skills required for each objective and ensure you have a solid grasp of the concepts.

2. Utilize Official Microsoft Learning Resources

Microsoft provides a range of official learning resources that can greatly assist you in your preparation. These resources include:

  • Microsoft Documentation: Explore the official Microsoft Azure documentation related to SAP workloads, focusing on the topics mentioned in the exam objectives.
  • Exam Ref AZ-120: This official Microsoft Press book covers the exam objectives and can serve as a valuable study guide.
  • Microsoft Learn: Access the Microsoft Learn platform for interactive modules, hands-on labs, and learning paths specific to the AZ-120 Exam.

3. Hands-on Experience with Azure and SAP Workloads

Practical experience is crucial for success in this exam. Utilize Azure and SAP trial accounts to gain hands-on experience with deploying, managing, and troubleshooting SAP workloads on Azure. Familiarize yourself with the Azure portal, Azure Resource Manager, and other relevant tools.

4. Join Study Groups and Forums

Engage with the Azure community by joining study groups and forums dedicated to the AZ-120 Exam. Participating in discussions, asking questions, and sharing knowledge can enhance your understanding and provide valuable insights.

5. Practice with Sample Questins

Practicing with sample questions is an effective way to familiarize yourself with the exam format and assess your knowledge. Microsoft offers official practice tests that simulate the actual exam experience. Additionally, you can find various online platforms and resources that provide sample questions and practice exams.

6. Create a Study Plan

Develop a study plan that suits your schedule and allows for consistent and focused preparation. Break down the exam objectives into manageable sections and allocate dedicated time for each topic. Setting realistic goals and adhering to a study schedule will help you stay organized and track your progress.

7. Take Advantage of Hands-on Labs and Workshops

Participate in hands-on labs and workshops offered by Microsoft or other authorized training providers. These practical exercises will enhance your skills in deploying, managing, and troubleshooting SAP workloads on Azure, further strengthening your preparation for the exam.

8. Review and Reinforce Your Knowledge

Regularly review the topics you have studied to reinforce your understanding. Take notes, create flashcards, or summarize key concepts to aid in memorization. Consider forming study groups with fellow students to discuss and explain complex topics to each other.

9. Stay Updated with Azure and SAP Developments

Azure and SAP technologies are constantly evolving. Stay updated with the latest developments, new features, and best practices through official Microsoft channels, blogs, webinars, and industry publications. This will ensure you have the most current knowledge relevant to the exam.

10. Stay Calm and Confident on Exam Day

On the day of the exam, ensure you get a good night's sleep and have a healthy breakfast. Arrive at the exam center or prepare your workspace early, allowing time to relax and mentally prepare. During the exam, read each question carefully, manage your time effectively, and trust in your preparation. Stay calm and confident, and do not hesitate to review your answers before submitting.

By following these actionable tips and dedicating sufficient time and effort to your preparation, you can increase your chances of success in the Microsoft AZ-120 Exam. Remember to practice regularly, leverage official resources, and stay focused on the exam objectives. Good luck on your journey to becoming a certified Microsoft Azure professional!

Note: For the most accurate and up-to-date information, always refer to the official Microsoft website and documentation for the AZ-120 Exam.

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VirtuLearn AI

Question 34:
Correct answers: Adaptive Card (D) and Dialog (E).
Explanation:

  • Adaptive Card: Lets you render rich content, including multiple options each with an image. You can include images for every option and actions (like Submit) to capture the user’s choice.
  • Dialog: Provides the flow control to show the card, wait for the user to pick an option, and then branch to the appropriate next steps. It manages multi-turn interactions and state.

Why the other options don’t fit:
  • an entity: Used for extracting data from user input, not for presenting options with images.
  • an Azure function: Backend code, not for UI presentation.
  • an utterance: A user input phrase, not for building the option list.

So, to present a list with images and handle selections in Bot Framework Composer, use an Adaptive Card to display the options and a Dialog to manage the interaction.

Singapore, Singapore

VirtuLearn AI

Question 76:

  • Correct answer: Spatial Analysis in Azure AI Vision

  • Why this is correct:
- You need to verify the user is alone in the camera frame. Spatial Analysis in Azure AI Vision can analyze a video stream to detect and count people in a scene and understand their spatial relationships. This directly supports determining whether more than one person is present, which matches the “user alone” requirement. - It minimizes development effort because it provides built-in scene understanding for video, unlike other options that would require additional training or separate services.
  • Why not the others:
- Speech-to-text in Azure AI Speech focuses on transcribing audio, not detecting other people in the video. - Object detection in Azure AI Custom Vision would require labeling and training a model to detect people, which adds work. - Object detection in Azure AI Vision (non-spatial) can detect objects but isn’t as targeted for counting people and analyzing their spatial arrangement as the dedicated Spatial Analysis feature.
  • Quick implementation note:
- Use the video pipeline’s spatial analysis capability to count people per frame over time; trigger a warning or block access if the count exceeds 1.

Singapore, Singapore

VirtuLearn AI

Question 72:
Question 72 asks which Python package to add to App1 to use an Azure AI service model (Model1) that identifies text intent.

  • Correct answer: azure-ai-language-conversations (Option B)

Why:
  • The task uses the Language Service’s Conversation Analysis feature to identify intent from text. The appropriate Python SDK to call a deployed Conversation model is the azure-ai-language-conversations package.
  • Other options are for different capabilities:
- azure-cognitiveservices-language-textanalytics is the older Text Analytics API (sentiment, key phrases, etc.), not for custom intent models. - azure-mgmt-cognitiveservices is for resource management, not calling models. - azure-cognitiveservices-speech is for Speech services (speech-to-text, etc.), not text intent.
Practical note (conceptual):
  • Install: pip install azure-ai-language-conversations
  • Use the ConversationAnalysisClient to call your deployed model (

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: Azure Cognitive Services.

  • Why: A single multi-service Azure Cognitive Services resource provides one endpoint and one credential that can be used to access multiple APIs (e.g., Decision and Language, plus others like Content Moderator). This meets the requirement of using a single endpoint/credential.

  • Why not the others: If you created separate resources for each API (e.g., separate Language, Speech, Content Moderator resources), you’d have multiple endpoints and keys, violating the “single endpoint and credential” requirement. All listed services are part of Cognitive Services, so they share a single Cognitive Services resource.

Singapore, Singapore

Math

Just cleared this exam with the help of this study packge. The test simulator software is amazing. and the AI is very helpful in clarifying the questions. Money well-spent!

United States

VirtuLearn AI

Question 28:
Answer: C — Computer Vision image analysis
Explanation:

  • To generate image tags in multiple languages with minimal development, use the Image Analysis endpoint of the Computer Vision service.
  • Call the API (Analyze Image) with visualFeatures=Tags and specify the language parameter (e.g., language=en, language=fr, language=es). The response returns tags with names localized to the requested language.
  • This approach requires no custom model training, unlike Custom Vision image classification, which would require building and tagging a dataset.
  • Other options:
- Content Moderator is for content safety/moderation, not tagging. - Image Moderation endpoints focus on inappropriate content. - Custom Translator translates text, not image tags.
In short, use the Image Analysis endpoint to get language-localized tags with minimal effort.

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: A. Run the Bot Framework Emulator.

  • Why: The Bot Framework Emulator lets you test and validate a locally running bot before connecting to any channels. It lets you simulate conversations, inspect requests/responses, view state, and debug dialog flows in real time.

  • Why the other options are not correct for pre-connection validation:
- Bot Framework Composer is a design/authoring tool, not a local validation tool for a running bot. - Registering the bot with Azure Bot Service is for cloud deployment, not for initial local validation. - Windows Terminal is just a shell; it doesn’t provide bot testing capabilities.
  • Quick steps (before connecting to channels):
- Install and run the bot locally (e.g., dotnet run or npm start). - Start the Bot Framework Emulator and connect to your bot’s local endpoint (typically http://localhost:3978/api/messages with any app credentials as needed). - Validate conversations, dialogs, and state to ensure correct behavior prior to deployment.

Singapore, Singapore

VirtuLearn AI

Question 10:
Correct answer: B. A new query key was generated.
Explanation:

  • The REST call uses POST to .../regenerateKey with body {"keyName": "Key2"}. This regenerates only the specified key (Key2) for the given Cognitive Services account.
  • The value of Key2 changes to a new secret; Key1 remains unchanged. It does not rotate both keys, nor does it involve Azure Key Vault.
  • After regenerating, update your client applications to use the new Key2 value to continue authenticating.

Singapore, Singapore

VirtuLearn AI

Question 57:
In question 57, after a new feature release users experience latency at login. The first action should be to rollback the recent release to the previous stable version.
Why:

  • Rolling back quickly restores service and user experience, minimizing impact (blast radius) while you investigate the root cause.
  • It buys time to diagnose whether the regression was introduced by the new release.

Why not the other options as the first step:
  • Review Stackdriver monitoring is important for diagnosis, but it doesn’t immediately restore service to normal. Do it after rollback or in parallel to triage.
  • Upsize the VMs may help temporarily but does not address the underlying issue and isn’t a guaranteed fix.
  • Deploy a new release could reintroduce the problem or delay stabilization.

Best practice tip: use feature flags or canary deployments so you can rollback a feature with minimal impact, and have a defined rollback playbook for fast incident response.

Zionsville, United States

Mark Whyte

Hi, when I click on Practice online it sends me to the free test is this right? is there a Mac OS of Xengine Thanks Mark

Wicklow, Ireland