Huawei H35-920 Exam Prep Course (Premium File)
AI-Powered HCDA - OWS Developer Exam - Pass on Your First Try

Last updated on Jun 09, 2026

 H35-920 Practice Exam
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Last Updated: 09-Jun-2026
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All HCDA - OWS Developer certification learning material, study guide, training courses are created by a team of Huawei training experts. The Study Guide and .EXM training software files contain relevant HCDA - OWS Developer content, labs, practice questions and explanation. This H35-920 exam guide and training courses is based on the latest exam outlines available!

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The H35-920 Exam Prep Features:

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Preparing and Passing the Huawei H35-920 Exam

Gaining the Huawei H35-920 certification can significantly boost your career prospects in the field of IT and networking. This prestigious certification validates your knowledge and skills in implementing and troubleshooting Huawei datacom products and solutions. To help you succeed in the H35-920 exam, we have compiled essential information and actionable tips to guide your preparation.

About the Huawei H35-920 Exam

The Huawei H35-920 exam, also known as the "HCDA-OTS (Huawei Certified Datacom Associate - Open Telecom Solutions)" exam, evaluates your understanding of Huawei's datacom products and technologies, particularly related to open telecom solutions. It covers a wide range of topics, including but not limited to:

  • Basic principles of data communication
  • Ethernet technology and protocols
  • Routing and switching technologies
  • Virtual LAN (VLAN) and Virtual Private Network (VPN) technologies
  • Network security fundamentals
  • Network troubleshooting and maintenance

The exam format typically consists of multiple-choice questions, requiring you to demonstrate your knowledge and understanding of these topics within a specified time limit. It is essential to study and prepare thoroughly to increase your chances of success.

Tips for Passing the H35-920 Exam

1. Familiarize Yourself with the Exam Objectives: Begin your preparation by reviewing the official exam objectives provided by Huawei. This will give you a clear understanding of the topics and skills assessed in the exam.

2. Study the Recommended Resources: Huawei offers a range of study materials and resources to help candidates prepare for the H35-920 exam. These resources may include official documentation, e-learning courses, practice exams, and books. Utilize these materials to gain a comprehensive understanding of the exam topics.

3. Create a Study Plan: Organize your study schedule by allocating sufficient time for each topic. Break down the syllabus into manageable sections and set realistic goals. A structured study plan will help you cover all the necessary material and ensure efficient exam preparation.

4. Hands-on Practice: Huawei certifications often require practical skills and hands-on experience. Set up a lab environment using Huawei equipment or simulators to gain practical experience in implementing and troubleshooting datacom solutions.

5. Join Study Groups and Forums: Engage with other candidates preparing for the H35-920 exam by joining study groups or online forums. Collaborating with peers can enhance your understanding of complex topics and provide a platform for discussion and clarification of doubts.

6. Take Practice Tests: Practice tests are invaluable resources for assessing your knowledge and identifying areas that require further improvement. Huawei may provide official practice exams or sample questions to help you become familiar with the exam format and level of difficulty.

7. Review and Revise: Allocate sufficient time for review and revision before the exam. Recapitulate the key concepts, reinforce your understanding, and focus on areas where you feel less confident. This step is crucial to consolidate your knowledge and boost your confidence.

8. Stay Updated with Huawei's Documentation: Huawei regularly updates its product documentation and technical resources. Stay abreast of the latest updates and developments by referring to the official Huawei website, documentation, and relevant online resources.

Conclusion

Passing the Huawei H35-920 exam requires dedicated preparation, a solid understanding of the exam objectives, and hands-on experience with Huawei datacom products. By following the tips provided in this article, you can enhance your chances of success and earn the HCDA-OTS certification. Remember to stay focused, manage your time effectively, and leverage the available resources to optimize your exam preparation.

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VirtuLearn AI

UTM STANDS FOR
Unified Threat Management.
It’s an integrated security appliance that combines multiple controls (e.g., firewall, IDS/IPS, antivirus/malware scanning, VPN, content filtering) to protect the network perimeter.

Rosedale, United States

VirtuLearn AI

Question 332:

  • The correct answer is: B. Reimage the end user's machine.

  • Why: The SOC has a live indication of a potential compromise (remote control, credential-like data). In incident response, containment/eradication takes precedence to stop malware persistence and possible exfiltration. Reimaging quickly cleans the host so you’re not just “mitigating” by changing credentials.

  • About the assumption: It isn’t that the compromise is fully confirmed or all evidence is already collected. The scenario describes suspicious activity that warrants immediate containment to reduce risk. Evidence collection can occur after containment.

  • Why not the others:
- A: Advising password changes is remediation for credential theft, but not the immediate containment needed if the host is compromised. - C: Checking the personal email policy addresses policy, not incident containment. - D: Checking host firewall logs is diagnostic and not the first action when a suspected remote-control compromise is identified.
  • Practical nuance: If feasible, you might quickly gather volatile data (RAM, running processes) before reimage, but the exam’s best-practice choice prioritizes containment/eradication first.

Rosedale, United States

VirtuLearn AI

Question 382:

  • Correct answer: C — Inability of a plan subscriber to locate and access fee information for nearby participating service providers.

  • Why: The stated capabilities focus on helping subscribers find providers in their vicinity (real-time maps/GPS, search by postal code or radius) and, critically, enable downloading the fee schedule for those providers. Requirements 7–11 directly support locating providers and retrieving their fee information. While directions (B) are useful, the primary business need driven by the enhancements is to locate nearby providers and access their fee information (C). Options A and D refer to provider-to-provider alerts or provider awareness of subscribers, which are not the primary goals of these enhancements.

  • Note: The problem statement’s official answer in this page shows D, which does not align with the described capabilities. The explanation above aligns the needs with the subscriber-centered benefits.

Yevlakh, Azerbaijan

VirtuLearn AI

Question 116:

  • Correct answer: IPSec

  • Why: IPSec provides security at the IP layer by authenticating and encrypting each IP packet in transit, giving confidentiality, integrity, and authenticity for data moving within the private cloud (e.g., site-to-site or host-to-host VPNs).

  • Why not the others:
- SHA-1: a hashing algorithm, not encryption; does not protect confidentiality and is insecure. - RSA: an asymmetric algorithm used for key exchange or signatures, not by itself to secure all traffic. - TGT: a Kerberos authentication artifact, not a method for protecting data in transit.

Johannesburg, South Africa

VirtuLearn AI

Question 33:

  • Correct concept: The Weather.Historic entity corresponds to the text "by month" in the utterance.

  • Why: The sample export shows the entity spans characters 23 to 31, and the substring in that span is "by month." In LU/LUIS, an entity's value is the exact text matched in the utterance; startIndex/endIndex (or startPos/endPos in older versions) indicate where that text appears.

  • Key takeaway: Weather.Historic is the phrase "by month" extracted from the user input, not the numeric value or a separate label. The positions illustrate where the entity text is located within the utterance.

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: Run the Bot Framework Emulator.

  • Why: When you start a bot locally, the Emulator is the standard tool to validate and debug your bot without publishing it. It lets you connect to your local endpoint (e.g., http://localhost:3978/api/messages), send test messages, inspect requests/responses, and verify dialogs and state.

  • What to expect: You can test conversation flows, activities, and debugging traces, ensuring the bot behaves as intended before connecting to any Azure channels.

  • Why the other options aren’t correct for this step:
- Bot Framework Composer is for designing and managing bot flows, not the primary local validation step before connecting to the bot. - Register the bot with Azure Bot Service is for deployment to Azure channels, not for initial local validation. - Run Windows Terminal is just a command shell and does not validate bot functionality.

Anonymous

VirtuLearn AI

Question 51:

  • Correct answer: Waterfall and Prompt dialogs (options C and D).

Explanation:
  • WaterfallDialog provides a simple, linear sequence of steps to collect multiple inputs. You can branch the flow based on the item type and decide which steps to execute next.
  • Prompt dialogs (e.g., TextPrompt, NumberPrompt) handle asking for input and basic validation, reducing custom parsing code.
  • Using a waterfall flow with prompts lets you minimize development effort: you define the sequence once and use prompts to gather the required details for each item type, rather than building complex adaptive logic.

Singapore, Singapore

VirtuLearn AI

Question 35:

  • Correct answer: Waterfall (option C), i.e., use a WaterfallDialog.
  • Why: A product setup process is a linear, guided flow. A WaterfallDialog runs a fixed sequence of steps (prompts, validations, and results) in order, which is ideal for collecting setup details step-by-step and finalizing the configuration.
  • How it works:
- Define a list of steps (e.g., gather product type, collect settings, confirm, complete). - Each step can prompt the user, validate input, store results, and proceed to the next step. - End after the final step.
  • Why not the others:
- ComponentDialog: groups multiple dialogs but isn’t inherently linear. - AdaptiveDialog: more flexible/dynamic; used for complex, context-aware flows. - “Action” isn’t a standard dialog type for this purpose.
In short, for a straightforward, guided setup flow, a WaterfallDialog is the most appropriate choice.

Singapore, Singapore

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