Pegasystems PEGACSA74V1 Exam Prep Course (Premium File)
AI-Powered Certified System Architect (CSA) 74V1 Exam Exam - Pass on Your First Try

Last updated on May 17, 2026

 PEGACSA74V1 Practice Exam
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Last Updated: 17-May-2026
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All Certified System Architect (CSA) 74V1 Exam certification learning material, study guide, training courses are created by a team of Pegasystems training experts. The Study Guide and .EXM training software files contain relevant Certified System Architect (CSA) 74V1 Exam content, labs, practice questions and explanation. This PEGACSA74V1 exam guide and training courses is based on the latest exam outlines available!

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Certified System Architect (CSA) 74V1 Exam Study package designed to help you confidently pass your exam.

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How to Prepare and Pass the Pegasystems PEGACSA74V1 Exam

Welcome to our comprehensive guide on preparing for and passing the Pegasystems PEGACSA74V1 exam. This article will provide you with all the accurate and up-to-date information you need to succeed in this certification. The PEGACSA74V1 exam, also known as the Certified System Architect (CSA) 7.4V1 exam, is designed to validate your skills and knowledge in building Pega applications.

About the PEGACSA74V1 Exam

The PEGACSA74V1 exam is a globally recognized certification offered by Pegasystems, a leading provider of strategic business applications. This exam focuses on testing your abilities in various areas of Pega application development, including application design, user interface development, data modeling, case management, and integration.

Exam Details

  • Exam Code: PEGACSA74V1
  • Exam Name: Certified System Architect (CSA) 7.4V1
  • Exam Duration: 90 minutes
  • Exam Format: Multiple-choice questions
  • Passing Score: 70%
  • Exam Language: English
  • Exam Registration: Through the Pegasystems website

Exam Objectives

The PEGACSA74V1 exam covers the following key areas:

  1. Understanding Pega's application development methodology
  2. Designing and building a Pega application
  3. Configuring user interfaces using Pega's UI technology
  4. Implementing business logic within a Pega application
  5. Managing data and data integration in Pega applications
  6. Designing and implementing case management solutions

Preparing for the PEGACSA74V1 Exam

Proper preparation is essential to increase your chances of success in the PEGACSA74V1 exam. Here are some actionable tips to help you prepare effectively:

  1. Understand the Exam Objectives: Thoroughly review the exam objectives provided by Pegasystems. Make sure you have a clear understanding of what topics and skills the exam will assess.
  2. Study the Official Exam Guide: Pegasystems offers an official exam guide that outlines the content and structure of the exam. Use this guide as your primary study resource.
  3. Explore Pega Academy: Pega Academy provides a wealth of free online training resources, including self-study courses, practice exams, and hands-on exercises. Take advantage of these resources to deepen your understanding of Pega application development.
  4. Practice with Hands-on Exercises: Pega applications are best learned by doing. Work through practical exercises and build sample applications to gain hands-on experience with Pega's tools and features.
  5. Join the Pega Community: The Pega Community is an active online forum where you can connect with other professionals, ask questions, and share insights. Engaging with the community can enhance your learning experience.
  6. Review Documentation and Best Practices: Familiarize yourself with Pega's official documentation and recommended best practices. This will help you understand the platform's capabilities and design applications effectively.
  7. Take Practice Exams: Practice exams are invaluable for assessing your knowledge and identifying areas that require further study. Pegasystems offers sample questions and practice exams to help you gauge your readiness.
  8. Create a Study Plan: Develop a study plan that allocates sufficient time for each exam objective. Set realistic goals and stick to your schedule to ensure comprehensive preparation.
  9. Join Study Groups or Find a Study Buddy: Collaborating with others who are also preparing for the exam can provide a supportive learning environment. Share resources, discuss concepts, and solve problems together.
  10. Stay Updated: Pegasystems regularly updates its platform and introduces new features. Stay informed about the latest advancements by following official blogs, forums, and release notes.

Conclusion

By following the tips and strategies outlined in this guide, you can prepare effectively for the Pegasystems PEGACSA74V1 exam and increase your chances of passing with flying colors. Remember to study diligently, leverage available resources, and gain practical experience with Pega application development. Best of luck on your certification journey!

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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

Smila Vincent

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Singapore, Singapore

VirtuLearn AI

Question 62:

  • Correct answer: D. Implement Jenkins on Compute Engine virtual machines.

  • Why this is the best choice:
- Since the app runs on GCP, hosting Jenkins on Compute Engine VMs keeps the CI/CD infrastructure in the same cloud environment, simplifying access to GCP services and credentials. - It reduces operational toil compared to managing Jenkins on local workstations or on-prem Kubernetes. - Cloud Functions cannot host a full Jenkins server (they’re serverless and not suited for long-running CI/CD tasks). - Using the Google Compute Engine plugin (google-compute-engine) lets Jenkins provision and manage GCE resources for build agents, enabling scalable, cloud-native pipelines.
  • How this supports security and streamline releases:
- Use GCP IAM/service accounts for least-privilege access, encrypt artifacts at rest, and place Jenkins behind private networking or IAP/VPN as needed. - Centralize credentials and secrets in Jenkins’ credentials store or Cloud KMS-backed solutions. - Automate deployments to GCP resources (App Engine, GKE, Cloud Run, Compute) via pipelines.
  • Why other options are less suitable:
- Local workstations: not scalable or secure for team CI/CD. - On-prem Kubernetes: adds management burden and detaches from GCP as the hosting environment. - Cloud Functions: not appropriate for a persistent Jenkins server.

Zionsville, United States

VirtuLearn AI

Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal?

  • Yes.

  • Explanation: When using an Azure internal load balancer as a listener for a SQL Server Always On availability group, you must enable the Floating IP feature. This allows the internal listener IP to float to the active primary replica, ensuring the listener remains reachable and client connections are redirected correctly after failover. The Floating IP setting is required for stable listener behavior in AG configurations.

Johannesburg, South Africa