Arcitura Education S90.05A Exam Prep Course (Premium File)
AI-Powered SOA Technology Lab Exam Exam - Pass on Your First Try

Last updated on Jun 09, 2026

 S90.05A Practice Exam
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Premium File (PDF): 40 Questions
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Last Updated: 09-Jun-2026
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All SOA Technology Lab Exam certification learning material, study guide, training courses are created by a team of Arcitura Education training experts. The Study Guide and .EXM training software files contain relevant SOA Technology Lab Exam content, labs, practice questions and explanation. This S90.05A exam guide and training courses is based on the latest exam outlines available!

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SOA Technology Lab Exam Study package designed to help you confidently pass your exam.

The S90.05A Exam Prep Features:

  • Contains the most relevant and up to date S90.05A study material covering all exam topics on the latest S90.05A certification.
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Preparing and Passing the Arcitura Education S90.05A Exam

As a student aiming to excel in the field of Service-Oriented Architecture (SOA), the Arcitura Education S90.05A exam holds significant importance. This article will guide you through the process of preparing for and successfully passing this exam, providing you with accurate and up-to-date information.

About the S90.05A Exam

The S90.05A exam, also known as "Advanced SOA Technology Concepts," is a certification offered by Arcitura Education. It assesses your knowledge and understanding of advanced topics related to SOA technology concepts and their practical application.

Exam Details

  • Exam Code: S90.05A
  • Exam Name: Advanced SOA Technology Concepts
  • Exam Format: Multiple-choice
  • Number of Questions: Varies (typically between 60-90 questions)
  • Passing Score: 70% or higher
  • Exam Duration: 90 minutes
  • Exam Language: English
  • Prerequisites: None
  • Exam Cost: Please refer to the Arcitura Education website for current pricing.

Preparing for the S90.05A Exam

Proper preparation is crucial to increase your chances of passing the S90.05A exam. Here are some actionable tips to help you effectively prepare:

1. Review the Exam Outline

Visit the Arcitura Education website and carefully review the exam outline for S90.05A. The outline provides a detailed breakdown of the topics and subtopics that the exam covers. Familiarize yourself with these areas to understand the scope of the exam.

2. Study the Recommended Learning Resources

Arcitura Education offers a range of learning resources designed specifically for the S90.05A exam. These resources include textbooks, eLearning courses, and instructor-led training. Explore the recommended resources and choose the ones that align with your preferred learning style.

3. Utilize Practice Tests

Practice tests are invaluable in preparing for any exam. Arcitura Education provides sample questions and practice exams that can give you a feel for the exam format and help you assess your knowledge gaps. Take advantage of these resources to enhance your exam readiness.

4. Engage in Hands-on Experience

Practical experience with SOA technology concepts can greatly enhance your understanding and application of the knowledge required for the S90.05A exam. Seek opportunities to work on real-world projects or utilize sandbox environments to gain hands-on experience.

5. Join Study Groups and Discussion Forums

Engaging with fellow students and professionals in study groups and discussion forums can provide valuable insights and help you clarify any doubts or questions you may have. Share your knowledge and learn from others to deepen your understanding of the subject matter.

Strategies for Success in the Exam

While preparing for the S90.05A exam, it's essential to adopt strategies that can increase your chances of success. Here are some tips to help you during the exam:

1. Time Management

Manage your time wisely during the exam. Read each question carefully, allocate appropriate time to answer each one, and avoid spending too much time on a single question. If you encounter difficult questions, mark them and come back to them later if time permits.

2. Understand Keywords and Context

Paying close attention to keywords within the exam questions can provide valuable hints about the correct answer. Understand the context of the question and evaluate each option before selecting your answer.

3. Elimination Technique

If you're uncertain about an answer, use the elimination technique. Eliminate obviously incorrect options first, narrowing down your choices and increasing the probability of selecting the correct answer.

4. Read and Review

Read each question thoroughly and ensure you understand what is being asked. Be cautious of any negative phrasing or double negatives that might alter the meaning of the question. After completing the exam, if time allows, review your answers to check for any errors or overlooked details.

5. Stay Calm and Focused

During the exam, maintain a calm and focused mindset. Avoid unnecessary stress or panic, as it can hinder your ability to think clearly. Remember to breathe, take breaks if needed, and approach each question with a clear mind.

By following these strategies and dedicating sufficient time to your exam preparation, you can increase your confidence and maximize your chances of passing the S90.05A exam.

Good luck with your exam preparation and future endeavors in the exciting field of Service-Oriented Architecture!

Arcitura Education

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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.

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

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.

Singapore, Singapore