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Cisco 300-820 Exam Prep Course (Premium File)
AI-Powered Implementing Cisco Collaboration Cloud and Edge Solutions Exam - Pass on Your First Try

Last updated on May 30, 2026

300-820 Practice Exam
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300-820 Package
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Last Updated: 30-May-2026
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All Implementing Cisco Collaboration Cloud and Edge Solutions certification learning material, study guide, training courses are created by a team of Cisco training experts. The Study Guide and .EXM training software files contain relevant Implementing Cisco Collaboration Cloud and Edge Solutions content, labs, practice questions and explanation. This 300-820 exam guide and training courses is based on the latest exam outlines available!

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Preparing and Passing the Cisco® 300-820 Exam

Welcome to our comprehensive guide on how to prepare for and successfully pass the Cisco® 300-820 exam. This exam, also known as Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI), is designed to validate your knowledge and skills in implementing core collaboration technologies in a Cisco Unified Collaboration solution.

About the Cisco® 300-820 Exam

The Cisco® 300-820 exam focuses on your ability to implement Cisco Collaboration Cloud and Edge Solutions, including configuring, troubleshooting, and managing collaboration solutions, along with understanding the integration of on-premises and cloud solutions.

Exam Details

  • Exam Code: 300-820 CLCEI
  • Exam Duration: 90 minutes
  • Number of Questions: Approximately 60-70
  • Exam Format: Multiple-choice
  • Passing Score: Cisco does not disclose the passing score for the exam
  • Exam Language: English
  • Exam Registration: Pearson VUE

Exam Topics

The 300-820 exam covers a range of topics that are essential for implementing Cisco Collaboration Cloud and Edge Solutions. It is important to study and have a strong understanding of the following areas:

  • Understanding Cisco Collaboration Cloud and Edge Solutions
  • Configuring Collaboration Applications
  • Implementing Collaboration Edge Architectures
  • Configuring Cisco Webex Hybrid Services
  • Securing Collaboration Solutions
  • Deploying and Troubleshooting Cisco Collaboration Cloud and Edge Solutions

Preparing for the Cisco® 300-820 Exam

To increase your chances of success in the 300-820 exam, it is crucial to have a structured study plan and access to the right resources. Here are some actionable tips to help you prepare effectively:

1. Understand the Exam Objectives

Start by reviewing the official exam objectives provided by Cisco. This will give you a clear understanding of what topics and skills the exam will assess. Ensure that you are familiar with each exam objective and focus your studies accordingly.

2. Study Official Cisco Documentation

Cisco provides official documentation and study materials for the 300-820 exam. Make sure to thoroughly review the relevant Cisco product documentation, configuration guides, and deployment guides. These resources will help you gain in-depth knowledge of Cisco Collaboration Cloud and Edge Solutions.

3. Take Advantage of Cisco Training Courses

Consider enrolling in Cisco training courses specifically designed for the 300-820 exam. These courses provide structured learning paths and expert guidance. Cisco offers instructor-led training, virtual training, and e-learning options to cater to different learning preferences.

4. Hands-on Experience

Practice is key when it comes to implementing Cisco Collaboration solutions. Set up a lab environment using Cisco Unified Communications Manager (CUCM), Cisco Unity Connection, Cisco Unified Contact Center Express (UCCX), and other relevant components. Hands-on experience will help solidify your understanding of the concepts and technologies covered in the exam.

5. Leverage Practice Tests

Use practice tests and sample questions to assess your knowledge and identify areas where you need further improvement. Cisco offers official practice exams that closely simulate the real exam environment. Additionally, there are third-party resources available that provide practice questions and study materials.

6. Join Cisco Communities and Forums

Engage with the Cisco community by participating in forums, discussion boards, and social media groups. These platforms provide opportunities to interact with experts and fellow candidates, share insights, ask questions, and stay updated on the latest trends and exam experiences.

7. Time Management

Plan your study schedule wisely, allocating sufficient time for each exam objective. Create a study plan that fits your routine and allows for regular and consistent study sessions. Adequate time management will ensure that you cover all the necessary topics before the exam.

8. Stay Updated

Keep yourself up to date with the latest advancements and updates in Cisco Collaboration technologies. Cisco regularly updates its product portfolio and introduces new features and solutions. Stay informed about these changes to ensure your knowledge aligns with the current industry standards.

9. Review and Revise

Allocate dedicated time for revision before the exam. Review all the concepts, practice questions, and notes you have gathered during your preparation. Focus on strengthening your understanding of the key topics and addressing any areas of weakness.

10. Exam Day Preparation

On the day of the exam, ensure you are well-rested and have a nutritious meal. Arrive at the exam center early to avoid any last-minute stress. Follow the exam instructions carefully, manage your time effectively, and remain calm and focused throughout the exam.

By following these tips and investing time and effort in your preparation, you can increase your chances of passing the Cisco® 300-820 exam and earning the valuable certification.

Remember, exam success comes not only from memorizing information but also from understanding the concepts and having hands-on experience with Cisco Collaboration solutions. Best of luck with your exam preparation and future endeavors!

Disclaimer: This article is intended for informational purposes only. Please refer to the official Cisco website for the most accurate and up-to-date information regarding the Cisco® 300-820 exam.

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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.

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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.

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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.

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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

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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.

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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.

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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.

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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 (

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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

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