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VMware 5V0-91.20 Exam Prep Course (Premium File)
AI-Powered VMware Carbon Black Portfolio Skills Exam - Pass on Your First Try

Last updated on May 12, 2026

5V0-91.20 Practice Exam
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5V0-91.20 Package
Premium File (PDF): 116 Questions
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Duration & Delievery: Self Paced
Last Updated: 12-May-2026
Free Updates: 60 Days
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All VMware Carbon Black Portfolio Skills certification learning material, study guide, training courses are created by a team of VMware training experts. The Study Guide and .EXM training software files contain relevant VMware Carbon Black Portfolio Skills content, labs, practice questions and explanation. This 5V0-91.20 exam guide and training courses is based on the latest exam outlines available!

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VMware Carbon Black Portfolio Skills Study package designed to help you confidently pass your exam.

The 5V0-91.20 Exam Prep Features:

  • Contains the most relevant and up to date 5V0-91.20 study material covering all exam topics on the latest 5V0-91.20 certification.
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Take the first step towards passing your 5V0-91.20 exam with ease by investing in our comprehensive certification exam material.

How to Prepare and Pass the VMware 5V0-91.20 Exam

As a student aspiring to become a VMware Certified Professional, passing the VMware 5V0-91.20 Exam is a crucial step towards achieving your goal. This exam, officially known as the VMware Carbon Black Portfolio Skills exam, assesses your knowledge and skills in various areas related to Carbon Black Cloud solutions. To help you prepare effectively and increase your chances of success, we have gathered accurate and up-to-date information about the exam, along with actionable tips.

About the VMware 5V0-91.20 Exam

The VMware 5V0-91.20 Exam is designed to evaluate your understanding of Carbon Black Cloud solutions and your ability to apply that knowledge in real-world scenarios. It validates your skills in deploying, configuring, and troubleshooting VMware Carbon Black solutions, including VMware Carbon Black Cloud Endpoint Standard, VMware Carbon Black Cloud Audit and Remediation, and VMware Carbon Black Cloud Enterprise EDR.

Here are some key details about the exam:

  • Exam Code: 5V0-91.20
  • Exam Name: VMware Carbon Black Portfolio Skills
  • Exam Format: Multiple-choice and drag-and-drop questions
  • Exam Duration: 105 minutes
  • Number of Questions: Approximately 60
  • Passing Score: 300 on a scale of 100-500
  • Exam Language: English
  • Exam Registration: Available through the VMware website

Exam Preparation Tips

To increase your chances of success in the VMware 5V0-91.20 Exam, it is important to have a well-structured study plan and access to relevant study materials. Here are some actionable tips to help you prepare effectively:

  1. Review the Exam Blueprint: Start by reviewing the official VMware 5V0-91.20 Exam Blueprint. It provides a detailed breakdown of the exam objectives and the topics you need to focus on during your preparation. Familiarize yourself with the knowledge areas and ensure you allocate sufficient time for each topic.
  2. Explore Official VMware Documentation: VMware provides comprehensive documentation for their Carbon Black Cloud solutions. Dive deep into the official product documentation, whitepapers, and technical resources. This will help you gain a thorough understanding of the concepts, features, and best practices.
  3. Enroll in VMware Training Courses: Consider enrolling in VMware-approved training courses that specifically cover Carbon Black Cloud solutions. These courses are designed to provide hands-on experience and in-depth knowledge required to succeed in the exam. VMware offers both instructor-led and self-paced online training options.
  4. Practice with Hands-On Labs: VMware offers virtual hands-on labs that allow you to gain practical experience with their products and solutions. Take advantage of these labs to familiarize yourself with the Carbon Black Cloud platform, perform configurations, and practice troubleshooting scenarios.
  5. Join Study Groups or Forums: Engage with the VMware community by joining study groups or forums where you can interact with other exam takers and experienced professionals. Discussing topics, asking questions, and sharing insights can enhance your understanding and provide valuable tips.
  6. Attempt Practice Exams: Practice exams are an excellent way to assess your knowledge and identify areas that need improvement. VMware offers sample questions and practice exams that simulate the actual exam environment. Analyze your performance, review explanations for incorrect answers, and focus on strengthening your weak areas.
  7. Stay Updated: As VMware regularly updates its products and solutions, it is essential to stay updated with the latest advancements. Follow VMware's official blogs, subscribe to relevant newsletters, and explore the Carbon Black Cloud community resources to stay abreast of new features, updates, and best practices.
  8. Manage Your Exam Time: During the exam, time management is crucial. Read each question carefully, and if you encounter challenging questions, flag them for review and move on. Allocate sufficient time for each question and review your answers before submitting. Avoid rushing through the exam to minimize errors.

By following these tips and investing ample time and effort in your preparation, you can enhance your knowledge, boost your confidence, and increase your chances of passing the VMware 5V0-91.20 Exam.

Remember, success in the exam is not just about memorizing facts but also about understanding the concepts and applying them in practical scenarios. Best of luck with your VMware certification journey!

VMware

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VirtuLearn AI

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

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.

Singapore, Singapore

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

VirtuLearn AI

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.

Singapore, Singapore

Smila Vincent

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