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Salesforce JAVASCRIPT-DEVELOPER-I Exam Prep Course (Premium File)
AI-Powered Salesforce Certified JavaScript Developer I Exam - Pass on Your First Try

Last updated on Jun 13, 2026

JAVASCRIPT-DEVELOPER-I Practice Exam
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JAVASCRIPT-DEVELOPER-I Package
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Last Updated: 13-Jun-2026
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All Salesforce Certified JavaScript Developer I certification learning material, study guide, training courses are created by a team of Salesforce training experts. The Study Guide and .EXM training software files contain relevant Salesforce Certified JavaScript Developer I content, labs, practice questions and explanation. This JAVASCRIPT-DEVELOPER-I exam guide and training courses is based on the latest exam outlines available!

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The JAVASCRIPT-DEVELOPER-I Exam Prep Features:

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How to Prepare and Pass the Salesforce JavaScript-Developer-I Exam

Are you aspiring to become a certified Salesforce JavaScript Developer? The JavaScript-Developer-I exam is a crucial step in your journey towards achieving this goal. In this article, we will provide you with comprehensive information about the exam, including its structure, content, and valuable tips to help you succeed.

About the Salesforce JavaScript-Developer-I Exam

The Salesforce JavaScript-Developer-I Exam, also known as the "JavaScript Developer I" exam, is designed to assess your knowledge and skills in using JavaScript within the Salesforce platform. Passing this exam demonstrates your proficiency in JavaScript development, including its syntax, data types, control flow, and integration with Salesforce tools and features.

Exam Details

- Exam Name: JavaScript-Developer-I

- Exam Duration: 105 minutes

- Exam Format: Multiple-choice and multiple-select questions

- Passing Score: 68%

- Registration Fee: Please refer to the official Salesforce website for the most up-to-date information on exam fees.

Exam Objectives

The JavaScript-Developer-I exam covers the following key areas:

  1. Variables and Types
  2. Control Flow
  3. Collections and Loops
  4. Functions and Modules
  5. Asynchronous Programming
  6. Client-Side Integration
  7. Error Handling and Debugging
  8. Testing and Deployment

Preparing for the JavaScript-Developer-I Exam

Effective preparation is essential to increase your chances of passing the JavaScript-Developer-I exam. Here are some actionable tips to help you prepare:

1. Understand the Exam Objectives

Thoroughly review the exam objectives provided by Salesforce. Ensure that you have a solid understanding of each objective and its subtopics. This will guide your study plan and help you focus on the areas that require more attention.

2. Utilize Official Salesforce Resources

Salesforce offers a variety of official resources to support your exam preparation. Make use of the official exam guide, documentation, and Trailhead modules specifically designed for JavaScript development within the Salesforce platform. These resources provide comprehensive and up-to-date information that aligns with the exam content.

3. Hands-on Practice

Practical experience is invaluable when preparing for the JavaScript-Developer-I exam. Create a Salesforce Developer Edition account and actively work on JavaScript development projects within the platform. Implement various functionalities, practice troubleshooting, and familiarize yourself with common integration scenarios. The more hands-on experience you gain, the better prepared you will be for the exam.

4. Explore Third-Party Study Materials

In addition to official Salesforce resources, consider leveraging third-party study materials such as books, online courses, and practice exams. These resources can provide alternative perspectives, reinforce your understanding, and offer additional practice opportunities.

5. Join Study Groups and Communities

Engage with other Salesforce developers and exam takers through study groups and online communities. Collaborating with peers allows you to discuss challenging topics, share insights, and learn from each other's experiences. Salesforce-specific forums, social media groups, and the Salesforce Trailblazer Community are excellent platforms to connect with like-minded individuals.

6. Practice Time Management

The JavaScript-Developer-I exam has a specific time limit, so practicing time management is crucial. Simulate exam conditions by taking practice tests and adhering to the allocated time. This will help you develop a sense of pacing and ensure that you can complete all the questions within the given timeframe.

7. Review and Reinforce

Allocate sufficient time for reviewing and reinforcing your knowledge. Create a study schedule that includes regular review sessions to revisit key concepts, practice sample questions, and identify areas where you need further improvement.

8. Stay Updated

Keep up-to-date with the latest developments in JavaScript and Salesforce technologies. Salesforce regularly releases updates and enhancements, so it is essential to stay informed about new features, best practices, and industry trends. Explore the Salesforce documentation and developer blogs to stay current.

Conclusion

By following these tips and dedicating ample time and effort to your preparation, you can increase your chances of passing the Salesforce JavaScript-Developer-I exam. Remember to utilize official Salesforce resources, gain practical experience, leverage third-party study materials, and engage with the Salesforce community. With a solid understanding of JavaScript development within the Salesforce platform, you will be well-equipped to tackle the exam and earn your JavaScript Developer certification.

Good luck on your journey towards becoming a certified Salesforce JavaScript Developer!

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VirtuLearn AI

Question 25:

  • Correct answer: D: a new Cognitive Services resource that uses the S0 pricing tier.

  • Why: To enable OCR and text analytics in a Cognitive Search enrichment pipeline, you must attach a Cognitive Services resource to the skillset. For cost efficiency on a large document set, choose the base standard tier (S0) rather than higher tiers or a free tier, which may limit enrichments. The OCR capability comes from the Cognitive Services (Computer Vision/Read) and the S0 tier provides a balance of capability and cost.

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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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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.

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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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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.

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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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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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