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Amazon AWS Certified Developer Associate Exam Prep Course (Premium File)
AI-Powered AWS Certified Developer - Associate DVA-C02 Exam - Pass on Your First Try

Last updated on May 17, 2026

AWS Certified Developer Associate Practice Exam
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AWS Certified Developer Associate Package
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Last Updated: 17-May-2026
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All AWS Certified Developer - Associate DVA-C02 certification learning material, study guide, training courses are created by a team of Amazon training experts. The Study Guide and .EXM training software files contain relevant AWS Certified Developer - Associate DVA-C02 content, labs, practice questions and explanation. This AWS Certified Developer Associate exam guide and training courses is based on the latest exam outlines available!

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AWS Certified Developer - Associate DVA-C02 Study package designed to help you confidently pass your exam.

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Preparing and Passing the Amazon AWS Certified Developer Associate Exam

Are you aspiring to become an AWS Certified Developer Associate? This prestigious certification from Amazon Web Services (AWS) can significantly enhance your career prospects in the field of cloud computing. In this article, we will provide you with comprehensive information on how to prepare for and pass the AWS Certified Developer Associate Exam, ensuring that you have all the necessary knowledge and skills to succeed.

About the AWS Certified Developer Associate Exam

The AWS Certified Developer Associate Exam is designed to validate your proficiency in developing and maintaining AWS-based applications. It covers a wide range of topics, including AWS services, deployment, security, development with AWS APIs, and more. This exam is ideal for individuals who have some experience in software development and want to showcase their expertise in building and deploying applications on the AWS platform.

Exam Details

Let's delve into the specific details of the AWS Certified Developer Associate Exam:

  • Exam Code: DVA-C01
  • Exam Duration: 130 minutes
  • Exam Format: Multiple choice and multiple response
  • Number of Questions: Approximately 65
  • Exam Fee: $150 USD
  • Passing Score: 720 out of 1000
  • Exam Language: Available in English, Japanese, Korean, and Simplified Chinese

Exam Preparation Tips

Now that we have an overview of the exam, let's explore some actionable tips to help you prepare effectively:

1. Understand the Exam Blueprint

Start by familiarizing yourself with the official AWS Certified Developer Associate Exam Guide provided by Amazon. This document outlines the exam objectives, subtopics, and the percentage of questions allocated to each domain. Understanding the blueprint will help you focus your study efforts accordingly.

2. Gain Hands-on Experience

One of the most crucial aspects of preparing for the AWS Certified Developer Associate Exam is gaining practical experience with AWS services. Sign up for an AWS account and actively explore different services like Amazon EC2, AWS Lambda, Amazon S3, Amazon RDS, and more. Build small applications, deploy them, and get hands-on experience with the various development tools and services available on the AWS platform.

3. Study Official AWS Documentation

Amazon provides extensive documentation for all its services. Make sure to go through the official AWS documentation related to the exam topics. Understanding the in-depth details of AWS services and their integration will strengthen your knowledge and prepare you for the exam.

4. Take Advantage of Online Training Resources

There are numerous online platforms that offer AWS Certified Developer Associate training courses. These courses provide structured learning paths, video tutorials, hands-on labs, and practice exams. Some popular online training resources include A Cloud Guru, Linux Academy, and Myitguides. Choose a reputable training resource that suits your learning style and budget.

5. Practice with Sample Questions

Practicing with sample questions is essential for understanding the exam format and familiarizing yourself with the types of questions asked. Amazon provides a sample exam blueprint in the official exam guide. Additionally, you can find various practice tests and quizzes online that simulate the actual exam environment.

6. Join AWS Developer Communities

Engaging with the AWS developer community can be immensely beneficial. Participate in forums, attend meetups or webinars, and connect with fellow developers who are also preparing for the exam. Sharing knowledge and experiences with like-minded individuals can provide valuable insights and help you stay motivated throughout your preparation journey.

7. Review Whitepapers and FAQs

Amazon publishes a collection of whitepapers and frequently asked questions (FAQs) that cover important topics related to AWS services. Reading these resources will deepen your understanding of the concepts and architectures used in real-world scenarios.

8. Utilize AWS Free Tier

The AWS Free Tier allows you to experiment with various services without incurring any costs. Take advantage of this offering to practice your skills and explore different AWS features. It's a cost-effective way to gain hands-on experience and implement what you've learned during your preparation.

9. Time Management during the Exam

Time management is crucial during the exam. Carefully read each question, eliminate obviously incorrect answers, and mark questions you are unsure about for review. Once you complete the exam, review the marked questions before submitting your final answers.

10. Stay Updated with AWS Services

AWS continuously updates and introduces new services and features. Stay updated with the latest announcements, service enhancements, and best practices by regularly visiting the AWS website, reading AWS blogs, and subscribing to relevant newsletters.

By following these tips and investing sufficient time and effort into your preparation, you'll be well-equipped to pass the AWS Certified Developer Associate Exam and demonstrate your proficiency in developing AWS-based applications.

Good luck on your journey towards becoming an AWS Certified Developer Associate!

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Question 86:

  • Correct answer: Vertical scaling

  • Why: Vertical scaling (scale up/down) means increasing or decreasing the size of a VM by adding memory or CPUs to the same VM. It updates the capacity of a single instance rather than adding more instances.

  • How it compares to other terms:
- Horizontal scaling (scale out/in): changes the number of VM instances, not the size of each one. - Elasticity: broad concept of adapting resources to demand (includes vertical and horizontal scaling). - Agility: general capability; not specific to VM capacity.
  • Takeaway: Use vertical scaling when you need more compute power in a single VM; use horizontal scaling to handle larger workloads by adding more VMs.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 73:
I can’t see the image-based statements in Question 73, so I can’t tell which specific statements are true. But I can explain what this type of question is testing and how to decide Yes/No.
What Question 73 is testing

  • Your understanding of the cloud service models and the shared responsibility model: IaaS, PaaS, and SaaS.
  • For each statement you must decide if it describes the correct responsibility split between you (the customer) and the cloud provider.

Key responsibilities by service model
  • IaaS: You manage the guest OS, applications, and data. The provider manages virtualization, servers, storage, and networking.
  • PaaS: You manage the applications and data. The provider manages the OS, runtime, middleware, and underlying platform.
  • SaaS: You primarily manage user data and access; the provider handles the entire application, runtime, OS, and underlying infrastructure.

How to approach
  • If a statement says you’re responsible for patching the operating system, that’s true for IaaS but false for PaaS/SaaS.
  • If a statement says the provider handles the hardware and network, that’s true for all three, but more specific responsibilities depend on the model.

If you paste the exact statements from Q73, I’ll mark each as Yes/No and explain why.

Rudolfstetten, Switzerland

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.

Singapore, Singapore

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.

Singapore, Singapore

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.

Singapore, Singapore