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

Last updated on May 30, 2026

 S90.05 Practice Exam
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Last Updated: 30-May-2026
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All SOA Technology Languages 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 Languages content, labs, practice questions and explanation. This S90.05 exam guide and training courses is based on the latest exam outlines available!

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

The S90.05 Exam Prep Features:

  • Contains the most relevant and up to date S90.05 study material covering all exam topics on the latest S90.05 certification.
  • A 90+% historical success rate, giving you confidence in your S90.05 exam preparation.
  • Includes a FREE S90.05 Mock exam software for added practice.
  • Free updates for 60 days, ensuring you have the latest S90.05 study content.
  • Instant access to download the study material, no waiting required.
  • Unlimited download access from any device, making studying convenient and easy.
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  • A responsive technical support team to provide you support 24/7.

Take the first step towards passing your S90.05 exam with ease by investing in our comprehensive certification exam material.

Preparing and Passing the Arcitura Education S90.05 Exam

As a student looking to enhance your knowledge and skills in the field of Service-Oriented Architecture (SOA), the Arcitura Education S90.05 exam is a significant milestone in your journey. This article will guide you on how to effectively prepare for and successfully pass the S90.05 exam, providing you with actionable tips and up-to-date information from the official Arcitura Education website.

About the Arcitura Education S90.05 Exam

The S90.05 exam, also known as "SOA Technology Concepts," is one of the modules offered by Arcitura Education as part of their Certified SOA Professional certification program. This module focuses on providing candidates with a comprehensive understanding of the foundational concepts, terminology, and technologies associated with SOA.

Exam Coverage and Topics

It's crucial to have a clear understanding of the exam's coverage and topics to ensure you allocate your study time effectively. The S90.05 exam covers the following key areas:

  • Service-Oriented Computing Fundamentals
  • Web Services Fundamentals
  • XML and JSON Fundamentals
  • Service Composition and Orchestration Fundamentals
  • Service-Oriented Architecture and Service-Orientation Fundamentals

Preparing for the S90.05 Exam

Proper preparation is the key to success in any exam. Here are some actionable tips to help you prepare for the S90.05 exam:

  1. Review the Official Exam Documentation: Visit the Arcitura Education website and obtain the official exam documentation for S90.05. Familiarize yourself with the exam objectives, recommended study resources, and sample questions provided.
  2. Study the Fundamentals: Dedicate sufficient time to understand the fundamental concepts of service-oriented computing, web services, XML and JSON, service composition and orchestration, and service-oriented architecture. Refer to reliable study materials and resources such as books, whitepapers, and online tutorials.
  3. Practice with Sample Questions: Utilize the sample questions provided in the official exam documentation to assess your knowledge and identify areas that require further attention. Practicing with sample questions will also help you become familiar with the exam format and improve your time management skills.
  4. Join Study Groups and Forums: Engage with fellow students and professionals pursuing the same certification. Participating in study groups and online forums allows you to discuss challenging topics, share insights, and gain additional perspectives.
  5. Hands-on Experience: Gain practical experience by working on real-world projects or engaging in hands-on exercises related to service-oriented architecture and related technologies. This practical experience will deepen your understanding and reinforce your knowledge.
  6. Review and Revise: Regularly review the topics you have studied to reinforce your understanding. Create concise study notes or flashcards to summarize key concepts, terminologies, and best practices.
  7. Simulate Exam Conditions: Prior to the actual exam, simulate exam conditions by taking timed practice tests. This will help you manage your time effectively during the exam and reduce anxiety.

Exam-Day Tips

On the day of the exam, it's essential to be well-prepared both mentally and practically:

  • Get a Good Night's Sleep: Ensure you have adequate rest the night before the exam to be alert and focused.
  • Arrive Early: Plan your journey to the exam center in advance, allowing for unexpected delays. Arriving early will give you ample time to settle in and relax before the exam begins.
  • Read Instructions Carefully: Take a few moments to carefully read and understand the instructions provided at the beginning of the exam. Pay attention to any special requirements or restrictions.
  • Manage Your Time: During the exam, allocate time wisely to answer each question. If you encounter a difficult question, make a note and revisit it later to prevent spending excessive time on a single item.
  • Stay Calm and Focused: Maintain a calm and focused mindset throughout the exam. Don't let challenging questions or time pressure distract you.
  • Review Your Answers: If time permits, review your answers before submitting the exam. Look for any errors or incomplete responses that you can rectify.

By following these preparation strategies and exam-day tips, you'll increase your chances of performing well in the S90.05 exam and earning your Certified SOA Professional certification.

Remember, diligent studying, practical experience, and staying focused during the exam are key ingredients for success. Best of luck in your S90.05 exam journey!

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VirtuLearn AI

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