SAP C_C4H620_24 Exam Prep Course (Premium File)
AI-Powered SAP Certified Development Associate - SAP Customer Data Cloud Exam - Pass on Your First Try

Last updated on May 30, 2026

 C_C4H620_24 Practice Exam
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Last Updated: 30-May-2026
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All SAP Certified Development Associate - SAP Customer Data Cloud certification learning material, study guide, training courses are created by a team of SAP training experts. The Study Guide and .EXM training software files contain relevant SAP Certified Development Associate - SAP Customer Data Cloud content, labs, practice questions and explanation. This C_C4H620_24 exam guide and training courses is based on the latest exam outlines available!

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Preparing and Passing the SAP C_C4H620_24 Exam

As a student looking to enhance your skills and knowledge in the field of SAP, taking the C_C4H620_24 exam is a significant step towards achieving your goals. This article will guide you through the process of preparing for and successfully passing the SAP C_C4H620_24 exam, ensuring that you have the necessary knowledge and confidence to excel in this certification.

About the SAP C_C4H620_24 Exam

The SAP C_C4H620_24 exam, also known as "SAP Certified Development Associate - SAP Customer Data Cloud," assesses your proficiency in various areas related to SAP Customer Data Cloud, including its configuration, implementation, and customization. This certification demonstrates your ability to work with SAP Customer Data Cloud solutions effectively.

Exam Details

  • Exam Code: C_C4H620_24
  • Exam Name: SAP Certified Development Associate - SAP Customer Data Cloud
  • Exam Duration: 180 minutes
  • Number of Questions: Approximately 80 questions
  • Exam Format: Multiple choice
  • Passing Score: 66%
  • Validated Skills: SAP Customer Data Cloud configuration, implementation, and customization
  • Prerequisites: None

Exam Preparation Tips

Preparing for the SAP C_C4H620_24 exam requires a systematic approach and a comprehensive study plan. Here are some actionable tips to help you succeed:

  1. Review the Exam Blueprint: Familiarize yourself with the exam objectives and the topics that will be covered. The SAP website provides an official exam curriculum and a detailed exam guide that outlines the areas you need to focus on.
  2. Utilize Official SAP Resources: SAP offers a range of official resources to support your preparation. These include training courses, e-learning modules, and documentation. Take advantage of these materials to deepen your understanding of SAP Customer Data Cloud and its related concepts.
  3. Practice with Sample Questions: Acquaint yourself with the exam format and types of questions by practicing with sample papers or official SAP practice exams. This will help you build confidence and familiarize yourself with the exam structure.
  4. Join SAP Learning Communities: Engage with fellow learners and professionals in SAP learning communities, forums, and discussion boards. Participating in these platforms allows you to gain insights from experienced individuals and exchange knowledge and tips.
  5. Hands-on Experience: Apply your knowledge practically by working on SAP Customer Data Cloud projects or simulations. Practical experience will deepen your understanding and reinforce the concepts you've learned.
  6. Create a Study Schedule: Develop a study plan that allocates dedicated time for each exam objective. Breaking down your preparation into manageable sections will help you cover all the necessary topics effectively.
  7. Review and Revise: Regularly review your progress and revise the topics you find challenging. Focus on strengthening your weaker areas while reinforcing your stronger ones. Use revision techniques like summarizing key concepts, creating flashcards, and teaching the material to someone else to enhance your understanding and retention.
  8. Stay Updated: Stay abreast of the latest developments and updates in SAP Customer Data Cloud. Visit the official SAP website, join relevant communities, and subscribe to industry publications to stay informed about any changes or advancements in the field.
  9. Simulate Exam Conditions: To familiarize yourself with the exam environment, simulate exam conditions during your practice sessions. Time yourself, adhere to the exam rules, and create a focused, distraction-free environment.
  10. Take Care of Yourself: Prioritize your physical and mental well-being during your exam preparation. Get adequate rest, exercise, and maintain a balanced diet. Taking care of yourself will help you stay focused, alert, and perform at your best during the actual exam.
  11. Seek Guidance: If you encounter challenges or have specific questions, don't hesitate to seek guidance from mentors, trainers, or SAP experts. Their insights and guidance can provide valuable clarity and support in your preparation journey.

By following these tips and putting in dedicated effort and practice, you can significantly increase your chances of passing the SAP C_C4H620_24 exam with flying colors. Remember, consistent and focused preparation is key to success.

Conclusion

The SAP C_C4H620_24 exam serves as a vital milestone in your SAP journey, showcasing your expertise in SAP Customer Data Cloud. With the right approach and preparation, you can confidently tackle the exam and achieve the desired certification. Use the official SAP resources, practice diligently, and leverage the support of the SAP community to enhance your knowledge and skills. Stay determined, stay focused, and success will be within your reach!

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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.

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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.

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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.

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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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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.

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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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