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GMAT GMAT SECTION 1: ANALYTICAL WRITING Exam Prep Course (Premium File)
AI-Powered GMAT Section 1: Analytical Writing Assessment (AWA) Exam - Pass on Your First Try

Last updated on May 17, 2026

GMAT SECTION 1: ANALYTICAL WRITING Practice Exam
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All GMAT Section 1: Analytical Writing Assessment (AWA) certification learning material, study guide, training courses are created by a team of GMAT training experts. The Study Guide and .EXM training software files contain relevant GMAT Section 1: Analytical Writing Assessment (AWA) content, labs, practice questions and explanation. This GMAT SECTION 1: ANALYTICAL WRITING exam guide and training courses is based on the latest exam outlines available!

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GMAT Section 1: Analytical Writing Assessment (AWA) Study package designed to help you confidently pass your exam.

The GMAT SECTION 1: ANALYTICAL WRITING Exam Prep Features:

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Preparing and Passing the GMAT Section 1: Analytical Writing Exam

Welcome to MyItGuides.com! As a trainee consultant with 10 years of experience in SEO and high-end copywriting, I'm here to provide you with all the information you need to prepare for and pass the GMAT Section 1: Analytical Writing exam. Let's dive into the details and equip you with actionable tips for success.

About the GMAT Section 1: Analytical Writing Exam

The GMAT (Graduate Management Admission Test) is a standardized exam used by many business schools around the world as part of their admissions process. It consists of four sections, and Section 1 is dedicated to Analytical Writing Assessment (AWA). The AWA section evaluates your ability to analyze and communicate complex ideas effectively within a given time constraint.

Exam Format and Duration

The GMAT Section 1: Analytical Writing exam presents you with one essay prompt, and you are required to write an essay analyzing the given argument. The prompt may contain an argument, an issue, or a recommendation to which you must respond.

You have 30 minutes to complete your essay. The time starts as soon as the prompt is displayed on the screen. It is crucial to manage your time wisely to ensure you can develop a coherent and well-structured essay within the given timeframe.

Scoring and Evaluation

The GMAT Section 1: Analytical Writing exam is scored separately from the other sections of the GMAT. The AWA section is graded on a scale of 0 to 6, with 0.5-point increments. Two independent evaluators will read and score your essay. They consider factors such as the overall quality of your ideas, your ability to organize and present your thoughts, the clarity and effectiveness of your writing, and your mastery of standard written English.

The scores from the two evaluators are averaged to provide you with your final AWA score. The AWA score does not contribute to your overall GMAT score, which is calculated based on the other sections (Quantitative, Verbal, and Integrated Reasoning).

Preparing for the GMAT Section 1: Analytical Writing Exam

Effective preparation is key to performing well in the GMAT Section 1: Analytical Writing exam. Here are some actionable tips to help you get ready:

1. Understand the Structure and Expectations

Familiarize yourself with the structure and format of the AWA section. Study sample essay prompts and official scoring criteria provided by the GMAT website. This will give you a clear understanding of what is expected in terms of content, organization, reasoning, and language usage.

2. Practice Timed Essays

Since time management is crucial, practice writing essays within the 30-minute time limit. Set up a quiet and distraction-free environment, choose sample prompts, and write essays under timed conditions. This will help you build endurance, develop your writing speed, and refine your ability to think and write quickly while maintaining quality.

3. Strengthen Your Analytical Skills

The AWA section assesses your ability to analyze arguments and articulate your thoughts effectively. Enhance your critical thinking and analytical skills by reading articles, editorials, and opinion pieces from reputable sources. Practice identifying logical fallacies, assumptions, and evidence in arguments. Engage in thoughtful discussions and debates to refine your ability to evaluate different viewpoints.

4. Enhance Writing Skills

Work on improving your writing skills by practicing coherent and well-structured essay writing. Pay attention to your grammar, vocabulary, and sentence structure. Review grammar rules and practice proofreading to minimize errors in your essays. Additionally, seek feedback from experienced writers or instructors to help you identify areas for improvement.

5. Develop a Template

Create a template or outline that you can use to structure your essays. This will save you valuable time during the exam and ensure your essay has a clear introduction, body paragraphs with supporting arguments, and a concise conclusion. A well-structured essay is easier to read and evaluate, improving your chances of a higher score.

6. Time Management

During the exam, manage your time effectively. Allocate a few minutes for reading and understanding the prompt, brainstorming ideas, outlining your essay, and proofreading your final draft. Stick to the recommended time allocation for each section of your essay to ensure you cover all necessary aspects within the given timeframe.

7. Practice under Exam-Like Conditions

Simulate the actual exam environment as closely as possible during your practice sessions. Use a computer, type your essays, and avoid distractions. This will help you adapt to the exam format and build familiarity with the interface, ensuring a smoother experience on test day.

8. Review and Seek Feedback

After completing practice essays, review them critically. Assess your strengths and weaknesses, and identify areas for improvement. Consider seeking feedback from mentors, tutors, or writing centers to gain valuable insights and suggestions for refining your writing style.

Conclusion

Preparing for the GMAT Section 1: Analytical Writing exam requires a combination of analytical thinking, effective writing skills, and time management. By understanding the exam format, practicing timed essays, strengthening your analytical and writing skills, and managing your time effectively, you can increase your chances of performing well on this section. Remember to review the official GMAT website for the most accurate and up-to-date information regarding the exam.

Best of luck with your GMAT preparation and the Section 1: Analytical Writing exam!

GMAT

Recent testimonials from our customers:

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

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