PEOPLECERT PeopleCert DevOps Engineer Exam Prep Course (Premium File)
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Last updated on Jun 07, 2026

 PeopleCert DevOps Engineer Practice Exam
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Last Updated: 07-Jun-2026
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All PeopleCert DevOps Engineer certification learning material, study guide, training courses are created by a team of PEOPLECERT training experts. The Study Guide and .EXM training software files contain relevant PeopleCert DevOps Engineer content, labs, practice questions and explanation. This PeopleCert DevOps Engineer exam guide and training courses is based on the latest exam outlines available!

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The PeopleCert DevOps Engineer Exam Prep Features:

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Preparing and Passing the PEOPLECERT PeopleCert DevOps Engineer Exam

As a student aspiring to become a certified DevOps Engineer, passing the PEOPLECERT PeopleCert DevOps Engineer Exam is a crucial step towards achieving your goal. This exam validates your knowledge and skills in the field of DevOps, ensuring that you possess the necessary expertise to excel in this role. In this article, we will provide you with comprehensive information about the exam and offer actionable tips to help you prepare effectively and increase your chances of success.

About the PEOPLECERT PeopleCert DevOps Engineer Exam

The PEOPLECERT PeopleCert DevOps Engineer Exam is a globally recognized certification exam designed to assess your understanding of key concepts, principles, and practices related to DevOps. By passing this exam, you demonstrate your proficiency in implementing and managing DevOps principles and tools within an organization.

The exam consists of multiple-choice questions that cover various topics essential to DevOps Engineering. These topics may include:

  • DevOps principles, practices, and methodologies
  • Continuous integration and continuous delivery (CI/CD) pipelines
  • Infrastructure as Code (IaC) and configuration management
  • Containerization and container orchestration
  • Monitoring, logging, and incident management
  • Security and compliance in DevOps

Tips for Exam Preparation

Preparing for the PEOPLECERT PeopleCert DevOps Engineer Exam requires a structured approach and a thorough understanding of the exam objectives. Here are some actionable tips to help you in your preparation:

  1. Review the exam objectives: Start by familiarizing yourself with the exam objectives provided by PEOPLECERT. These objectives outline the specific topics and skills that will be tested in the exam. Make sure to allocate sufficient time to study each objective in depth.
  2. Study relevant resources: Gather high-quality study materials such as official documentation, recommended books, online tutorials, and practice exams. The PEOPLECERT website should provide you with a comprehensive list of recommended resources. Focus on understanding the underlying concepts and practical applications of DevOps principles and tools.
  3. Hands-on experience: DevOps is a practical field, and hands-on experience is invaluable. Set up a lab environment to practice implementing various DevOps tools and workflows. This will help you solidify your understanding and gain confidence in applying DevOps practices.
  4. Join study groups and forums: Engage with like-minded individuals preparing for the same exam. Participating in study groups or online forums allows you to discuss complex topics, clarify doubts, and learn from others' experiences. It also provides an opportunity to stay updated with the latest trends and best practices in DevOps.
  5. Take practice exams: Practice exams are an excellent way to assess your readiness for the actual exam. They familiarize you with the exam format, improve time management skills, and identify areas where you need further improvement. Analyze your performance in practice exams and focus on strengthening your weak areas.
  6. Stay updated: DevOps is a rapidly evolving field, and new tools and practices emerge frequently. Stay updated with the latest industry trends, technological advancements, and best practices by following relevant blogs, attending webinars, and joining professional networks.

Remember, consistent effort, dedication, and a well-rounded understanding of DevOps principles and practices are key to passing the PEOPLECERT PeopleCert DevOps Engineer Exam. Good luck with your exam preparation!

Disclaimer: The information provided in this article is based on the available information at the time of writing. For the most accurate and up-to-date details, please refer to the official PEOPLECERT website.

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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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