Cisco 700-801 Exam Prep Course (Premium File)
AI-Powered IoT Sales Fundamentals Exam - Pass on Your First Try

Last updated on Apr 06, 2026

 700-801 Practice Exam
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Last Updated: 06-Apr-2026
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All IoT Sales Fundamentals 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 IoT Sales Fundamentals content, labs, practice questions and explanation. This 700-801 exam guide and training courses is based on the latest exam outlines available!

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How to Prepare and Pass the Cisco® 700-801 Exam

Are you aspiring to become a certified professional in Cisco® technologies? The Cisco® 700-801 exam is a crucial step towards achieving that goal. This article will guide you on how to effectively prepare for and successfully pass the 700-801 exam, ensuring you have the necessary knowledge and skills to excel in your Cisco® career.

About the Cisco® 700-801 Exam

The Cisco® 700-801 exam, also known as the IoT Sales Fundamentals exam, focuses on validating your understanding of Cisco® Internet of Things (IoT) solutions and sales fundamentals. It assesses your knowledge of IoT architectures, Cisco® IoT solutions, selling IoT solutions, and understanding customer needs.

To obtain the Cisco® IoT Sales Specialist certification, passing the 700-801 exam is a requirement. This certification demonstrates your expertise in positioning, selling, and designing Cisco® IoT solutions, making you a valuable asset in the rapidly evolving IoT industry.

Exam Details

Before diving into the exam preparation, let's familiarize ourselves with the key details of the Cisco® 700-801 exam:

  • Exam Code: 700-801
  • Exam Name: IoT Sales Fundamentals
  • Exam Duration: 60 minutes
  • Number of Questions: Approximately 55-65 questions
  • Exam Format: Multiple choice and multiple response
  • Passing Score: Cisco® does not disclose the exact passing score
  • Exam Language: English
  • Exam Registration: Pearson VUE

Exam Preparation Tips

To increase your chances of success in the Cisco® 700-801 exam, here are some actionable tips:

  1. Understand the Exam Objectives: Familiarize yourself with the official exam objectives provided by Cisco®. This will give you a clear understanding of what topics and skills you need to focus on during your preparation.
  2. Study the Official Exam Resources: Cisco® provides official resources to help you prepare for the exam. These resources include training courses, study guides, practice exams, and learning materials. Make the most of these resources to enhance your knowledge and skills.
  3. Create a Study Plan: Develop a study plan that outlines your daily or weekly study goals. Allocate dedicated time for each exam objective and ensure a balanced approach to cover all the topics effectively.
  4. Hands-on Experience: Practical experience with Cisco® IoT solutions can greatly enhance your understanding and retention of the exam concepts. If possible, set up a lab environment to gain hands-on experience with IoT technologies and Cisco® solutions.
  5. Join Study Groups or Forums: Engage with fellow candidates, join study groups, or participate in online forums dedicated to Cisco® certifications. These platforms provide opportunities to discuss exam-related topics, share resources, and gain valuable insights from others.
  6. Practice with Sample Questions: Cisco® offers sample questions and practice exams to help you familiarize yourself with the exam format and test your knowledge. Practice answering these questions under simulated exam conditions to improve your time management and confidence.
  7. Review and Revise: Regularly review your study materials and revise the key concepts. Focus on areas where you feel less confident and reinforce your understanding through additional study resources.
  8. Stay Updated: Cisco® regularly updates its technologies and solutions. Stay informed about the latest trends and developments in the IoT industry to ensure your knowledge is up to date.
  9. Manage Exam Anxiety: On the day of the exam, make sure to get a good night's sleep and arrive at the test center well-prepared. During the exam, manage your time effectively, read each question carefully, and answer confidently based on your preparation.
  10. Post-Exam Analysis: Regardless of the exam outcome, analyze your performance and identify areas for improvement. This analysis will guide your future learning and help you grow as a Cisco® professional.

By following these tips and dedicating sufficient time and effort to your exam preparation, you will be well on your way to success in the Cisco® 700-801 exam and earning your Cisco® IoT Sales Specialist certification.

Remember, certification exams can be challenging, but with proper preparation and a positive mindset, you can achieve your goals and advance your career in the exciting field of IoT and Cisco® technologies.

Best of luck with your exam preparation and future endeavors!

Cisco

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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.

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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.

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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.

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Smila Vincent

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