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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 17, 2026

AZ-120 Practice Exam
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Last Updated: 17-Jun-2026
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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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Planning and Administering Microsoft Azure for SAP Workloads Study package designed to help you confidently pass your exam.

The AZ-120 Exam Prep Features:

  • Contains the most relevant and up to date AZ-120 study material covering all exam topics on the latest AZ-120 certification.
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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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Question 20:

  • Correct answer: D and E.

  • Why: Provisioning a QnA Maker service creates:
- Azure App Service to host the QnA Maker web API (your App Service Plan AP1 will host the App Service resource). - Azure Cognitive Search to enable fast search over the knowledge base.
  • Why not the others:
- Language Understanding, Azure SQL Database, and Azure Storage are not automatically created by QnA Maker provisioning.
  • Quick note: After provisioning, check RG1 to verify the new App Service and Cognitive Search resources.

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what if different between speech recognizer and speach synthesizer

  • Speech Recognizer (Speech-to-Text): Converts audio input (live mic or audio file) into text. Output is transcripts with timestamps, confidence scores, and optional punctuation. Use cases: meeting transcripts, voice commands, real-time captions.

  • Speech Synthesizer (Text-to-Speech): Converts text (or SSML) into audio output. Output is audio data (wav/mp3 or streaming). Use cases: voice prompts, IVR responses, accessibility narrations. You can choose voices, languages, and adjust prosody (rate, pitch, volume).

  • Key differences:
- Input: Recognizer takes audio; Synthesizer takes text/SSML. - Output: Recognizer ? text; Synthesizer ? audio. - Features: Recognizer provides transcripts and timing; Synthesizer provides customizable voices (neural, SSML), multiple languages. - Typical scenarios: Transcription vs. generating spoken content.
  • Quick example: Use Speech Recognizer to transcribe a meeting; use Speech Synthesizer to read a script aloud in a chosen voice.

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Question 17:

  • Correct answer: A Anomaly Detector.

  • Why: Anomaly Detector is designed to identify unusual values in time-series data. Your scenario has 100 machines × 50 sensors, generating minute-by-minute data, totaling 5,000 time-series. Anomaly Detector can process each time-series (or batches of series) to flag deviations that may indicate potential failures, which is exactly what you need for predictive maintenance.

  • Why not the others:
- Cognitive Search is for indexing and querying content, not for detecting anomalies in time-series data. - Form Recognizer extracts data from forms, not time-series sensor data. - Custom Vision analyzes images, not numeric sensor streams.
  • Practical note: with 5,000 time series, you’d typically run anomaly detection per series (potentially in parallel) and aggregate results to identify which machines/sensors warrant attention.

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Question 12:

  • Correct answers: A, B, F.

  • Why:
- A. The index size will increase. Enabling CMK encryption adds encryption metadata and key management data, which increases index size. - B. Query times will increase. Encryption/decryption overhead and key retrieval can slow queries. - F. Azure Key Vault is required. CMK means you store/manage keys in Key Vault; it’s a billable, required service for CMK.
  • Why the other options are incorrect:
- C (self-signed X.509 certificate required) is not a requirement for CMK. - D (index size will decrease) and E (query times will decrease) contradict the expected impact of CMK.

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VirtuLearn AI

GIF also we are using ?

  • No, GIF is not supported for Form Recognizer input. The allowed formats are JPG, PNG, PDF (text or scanned), or TIFF.
  • If you have GIFs, convert them to one of the supported formats (e.g., convert to JPG/PNG or PDF) before training or uploading.
  • Also ensure each file is under 50 MB and, when possible, use text-embedded PDFs to reduce errors.

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VirtuLearn AI

Question 11:

  • Correct answers: A, C, F.

  • Why:
- Form Recognizer accepts documents in these formats: JPG, PNG, PDF (text or scanned), or TIFF. (TIFF is sometimes used in archival/scanned docs.) - Text-embedded PDFs are preferred because they minimize character extraction and location errors. - Training data must be under 50 MB per file.
  • So A, C, and F are the three files that meet these input requirements; the other options (B, D, E) likely fail one of the criteria (wrong format or too large). If you want, describe the formats of A, C, and F to confirm they meet all three criteria.

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Question 10:
The correct answer is B: A new query key was generated.
Explanation:

  • The REST call to:
POST .../regenerateKey?api-version=2017-04-18 with body {"keyName": "Key2"} regenerates the specified account key.
  • Since you specified Key2, only the secondary key is regenerated; the primary key (Key1) remains unchanged.
  • This operation updates the Cognitive Services account keys within Azure, not anything in Azure Key Vault.
  • “Query key” refers to the key used to authorize API requests to the service (subscription key), so regenerating Key2 yields a new value for that key.

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Why pull first, its create is first is it
Yes. The sequence is correct because you need a base image first.

  • Step 1: Pull the base container image (Anomaly Detector) to have a starting point.
  • Step 2: Create a Dockerfile to capture the exact changes you want (reproducible build).
  • Step 3: Build and push the customized image to Azure Container Registry (ACR).
  • Step 4: Distribute a docker run script to deploy the container on devices.

Why not start with the Dockerfile? You need the base image to reference in the FROM line, and you can only push a built image to ACR, not an unbuilt modification.

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Question 5:

  • In Azure Resource Manager (ARM) REST APIs, creating or updating a resource is done with a PUT request to the resource’s exact URL (idempotent operation). This means you can repeatedly call the same PUT and it will create the resource if it doesn’t exist or update it if it does.
  • POST is used to create resources under a collection (without a predefined name), which would generate a new resource id each time and is not suitable when you need a single, known resource name and a single endpoint/key to consolidate billing and access.
  • For Question 5, you’re creating a new resource at a specific path (with a known resource name) to provide a single key/endpoint for multiple services. Therefore, PUT is the correct method.

If you’d like, I can outline the exact REST call structure (URL, headers, and body) for creating the Cognitive Services/related resource using PUT.

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