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SAP C_MDG_90 Exam Prep Course (Premium File)
AI-Powered SAP Certified Application Associate - SAP Master Data Governance Exam - Pass on Your First Try

Last updated on Jun 07, 2026

C_MDG_90 Practice Exam
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Preparing and Passing the SAP C_MDG_90 Exam

Welcome to our comprehensive guide on preparing and passing the SAP C_MDG_90 exam. In this article, we will provide you with the most accurate and up-to-date information about the exam, as obtained from the official SAP website. Whether you are a student or a professional looking to enhance your knowledge and skills in SAP Master Data Governance, this guide will help you achieve your goal of becoming a certified C_MDG_90 professional.

About the SAP C_MDG_90 Exam

The SAP C_MDG_90 exam, officially known as "SAP Certified Application Associate - SAP Master Data Governance 9.0," is designed to validate the knowledge and skills of candidates in the area of SAP Master Data Governance. This exam tests your understanding of the various concepts, functionalities, and features of SAP MDG 9.0.

Here are some important details about the C_MDG_90 exam:

  • Exam Code: C_MDG_90
  • Exam Name: SAP Certified Application Associate - SAP Master Data Governance 9.0
  • Exam Duration: 180 minutes
  • Number of Questions: Approximately 80
  • Exam Format: Multiple Choice
  • Passing Score: To be determined by SAP
  • Prerequisite: None

Exam Topics and Preparation

To pass the C_MDG_90 exam, it is essential to have a solid understanding of the key topics covered in the exam. The official SAP website provides a detailed exam syllabus, which outlines the following topics:

  1. Data Models and Data Quality
  2. UI Modeling
  3. Process Modeling
  4. Data Replication and Import
  5. Data Distribution and Consolidation
  6. Data Quality and Search
  7. Change Requests
  8. Data Governance
  9. Information Stewardship
  10. Data Privacy and Protection

It is important to thoroughly study each topic and gain practical experience in working with SAP Master Data Governance. Here are some actionable tips to help you prepare effectively for the C_MDG_90 exam:

  • 1. Familiarize Yourself with the Exam Objectives: Review the official exam syllabus and make sure you understand the key concepts and objectives of each topic.
  • 2. Study Official SAP Documentation: SAP provides comprehensive documentation and guides for SAP Master Data Governance. Study these resources to gain in-depth knowledge of the product.
  • 3. Take Training Courses: SAP offers training courses specifically designed for C_MDG_90 exam preparation. Enroll in these courses to enhance your understanding and practical skills.
  • 4. Practice with SAP MDG System: Obtain access to a SAP MDG system and practice working on different scenarios. Hands-on experience will strengthen your understanding of the product.
  • 5. Join SAP Community: Engage with the SAP community through forums, blogs, and social media platforms. Interacting with experts and fellow learners will provide you with valuable insights, tips, and resources related to SAP MDG and the C_MDG_90 exam.
  • 6. Utilize Sample Questions and Practice Tests: Seek out sample questions and practice tests related to the C_MDG_90 exam. These resources will help you familiarize yourself with the exam format and assess your readiness.
  • 7. Create a Study Plan: Develop a structured study plan that allocates sufficient time to cover all exam topics. Set specific goals for each study session and track your progress regularly.
  • 8. Take Advantage of Online Learning Platforms: Explore online learning platforms that offer C_MDG_90 exam preparation materials, such as video tutorials, interactive exercises, and study guides.
  • 9. Join Study Groups: Collaborate with fellow students or professionals preparing for the C_MDG_90 exam. Participate in study groups or discussion forums to exchange knowledge, clarify doubts, and reinforce your learning.
  • 10. Review and Revise: Allocate dedicated time for revision before the exam. Review all the topics, practice sample questions, and reinforce your understanding of key concepts.

    • Registering for the Exam

    Once you feel confident in your preparation, it's time to register for the C_MDG_90 exam. Follow these steps:

    1. Visit the official SAP Training and Certification website.
    2. Search for the C_MDG_90 exam and select the appropriate option.
    3. Follow the registration instructions and complete the necessary steps.
    4. Pay the exam fee, which may vary depending on your location.
    5. Choose a convenient date and location for your exam.
    6. Receive confirmation of your exam registration.

    Exam Day Tips

    To maximize your chances of success on the C_MDG_90 exam, consider the following tips for the exam day:

    • Be well-rested: Get a good night's sleep before the exam to ensure you are well-rested and focused.
    • Arrive early: Reach the exam center well in advance to avoid any unnecessary stress or delays.
    • Read instructions carefully: Before starting the exam, carefully read all instructions and understand the exam format.
    • Manage your time: Pace yourself during the exam to ensure you have sufficient time to answer all questions.
    • Answer all questions: Even if you are unsure about certain questions, attempt to answer them all. There is no penalty for incorrect answers.
    • Stay calm and focused: Maintain a calm and focused mindset throughout the exam. Don't let difficult questions distract you.

    Conclusion

    Preparing for and passing the SAP C_MDG_90 exam requires dedication, thorough understanding of the exam topics, and practical experience with SAP Master Data Governance. By following the actionable tips provided in this guide, you can enhance your chances of success and demonstrate your proficiency in SAP MDG 9.0. Best of luck on your journey to becoming a certified SAP Master Data Governance professional!

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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