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Splunk SPLK-2002 Exam Prep Course (Premium File)
AI-Powered Splunk Enterprise Certified Architect Exam - Pass on Your First Try

Last updated on Jun 12, 2026

SPLK-2002 Practice Exam
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SPLK-2002 Package
Premium File (PDF): 205 Questions
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Last Updated: 12-Jun-2026
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All Splunk Enterprise Certified Architect certification learning material, study guide, training courses are created by a team of Splunk training experts. The Study Guide and .EXM training software files contain relevant Splunk Enterprise Certified Architect content, labs, practice questions and explanation. This SPLK-2002 exam guide and training courses is based on the latest exam outlines available!

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Splunk Enterprise Certified Architect Study package designed to help you confidently pass your exam.

The SPLK-2002 Exam Prep Features:

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Preparing and Passing the Splunk® SPLK-2002 Exam

Are you looking to enhance your skills and demonstrate your proficiency in Splunk®? Taking the SPLK-2002 Exam is a great way to validate your knowledge and become a certified Splunk® Core Certified Power User. In this article, we will explore the exam details, offer tips for preparation, and provide actionable strategies to help you succeed.

About the SPLK-2002 Exam

The SPLK-2002 exam, also known as the Splunk Core Certified Power User exam, focuses on validating the skills required to navigate, use, and create knowledge objects within the Splunk® platform. It tests your ability to handle common data sources, perform searches, and utilize field transformations, among other essential Splunk® functionalities.

Exam Details

  • Exam Code: SPLK-2002
  • Exam Duration: 57 minutes
  • Exam Format: Multiple choice, scenario-based questions
  • Passing Score: 70%
  • Prerequisites: Splunk® Core Certified User or equivalent knowledge
  • Registration: Visit the official Splunk® website to register for the exam

Preparation Tips

Adequate preparation is essential to maximize your chances of success in the SPLK-2002 exam. Here are some actionable tips to help you prepare effectively:

  1. Review the Exam Blueprint: The Splunk® website provides a detailed exam blueprint that outlines the key topics and concepts covered in the exam. Familiarize yourself with this blueprint to understand the areas you need to focus on during your preparation.
  2. Explore Splunk® Documentation: Splunk® offers comprehensive documentation that covers various aspects of the platform. Study the official documentation to gain a deep understanding of Splunk® search processing, data models, knowledge objects, and more.
  3. Practice with Splunk®: Install Splunk® on your local machine or utilize an online sandbox environment to gain hands-on experience. Practice performing searches, creating visualizations, and utilizing advanced Splunk® features. The more you work with Splunk®, the better prepared you will be for the exam.
  4. Join Splunk® Community: Engage with the Splunk® community, which includes forums, user groups, and online communities. Participating in discussions and asking questions will expand your knowledge and expose you to real-world scenarios.
  5. Take Splunk® Training Courses: Splunk® offers various training courses designed to enhance your skills and knowledge. Consider enrolling in the Splunk Fundamentals 2 course, which specifically targets the SPLK-2002 exam objectives.
  6. Utilize Sample Questions: The Splunk® website provides sample questions that mimic the format and difficulty level of the actual exam. Practice answering these questions to familiarize yourself with the exam structure and assess your readiness.
  7. Create a Study Plan: Develop a study plan that includes dedicated time for reviewing study materials, hands-on practice, and taking mock exams. A structured approach will help you stay organized and cover all the necessary topics.

Final Thoughts

The SPLK-2002 exam is a valuable opportunity to validate your expertise in Splunk® and showcase your skills to potential employers or clients. By following the preparation tips outlined in this article, you can increase your chances of passing the exam with flying colors. Remember to invest time in understanding the core concepts, practicing hands-on, and leveraging the available resources provided by Splunk®. Good luck on your journey to becoming a Splunk Core Certified Power User!

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Question 35:

  • Correct answer: Waterfall (option C), i.e., use a WaterfallDialog.
  • Why: A product setup process is a linear, guided flow. A WaterfallDialog runs a fixed sequence of steps (prompts, validations, and results) in order, which is ideal for collecting setup details step-by-step and finalizing the configuration.
  • How it works:
- Define a list of steps (e.g., gather product type, collect settings, confirm, complete). - Each step can prompt the user, validate input, store results, and proceed to the next step. - End after the final step.
  • Why not the others:
- ComponentDialog: groups multiple dialogs but isn’t inherently linear. - AdaptiveDialog: more flexible/dynamic; used for complex, context-aware flows. - “Action” isn’t a standard dialog type for this purpose.
In short, for a straightforward, guided setup flow, a WaterfallDialog is the most appropriate choice.

Singapore, Singapore

VirtuLearn AI

Question 34:
Correct answers: Adaptive Card (D) and Dialog (E).
Explanation:

  • Adaptive Card: Lets you render rich content, including multiple options each with an image. You can include images for every option and actions (like Submit) to capture the user’s choice.
  • Dialog: Provides the flow control to show the card, wait for the user to pick an option, and then branch to the appropriate next steps. It manages multi-turn interactions and state.

Why the other options don’t fit:
  • an entity: Used for extracting data from user input, not for presenting options with images.
  • an Azure function: Backend code, not for UI presentation.
  • an utterance: A user input phrase, not for building the option list.

So, to present a list with images and handle selections in Bot Framework Composer, use an Adaptive Card to display the options and a Dialog to manage the interaction.

Singapore, Singapore

VirtuLearn AI

Question 76:

  • Correct answer: Spatial Analysis in Azure AI Vision

  • Why this is correct:
- You need to verify the user is alone in the camera frame. Spatial Analysis in Azure AI Vision can analyze a video stream to detect and count people in a scene and understand their spatial relationships. This directly supports determining whether more than one person is present, which matches the “user alone” requirement. - It minimizes development effort because it provides built-in scene understanding for video, unlike other options that would require additional training or separate services.
  • Why not the others:
- Speech-to-text in Azure AI Speech focuses on transcribing audio, not detecting other people in the video. - Object detection in Azure AI Custom Vision would require labeling and training a model to detect people, which adds work. - Object detection in Azure AI Vision (non-spatial) can detect objects but isn’t as targeted for counting people and analyzing their spatial arrangement as the dedicated Spatial Analysis feature.
  • Quick implementation note:
- Use the video pipeline’s spatial analysis capability to count people per frame over time; trigger a warning or block access if the count exceeds 1.

Singapore, Singapore

VirtuLearn AI

Question 72:
Question 72 asks which Python package to add to App1 to use an Azure AI service model (Model1) that identifies text intent.

  • Correct answer: azure-ai-language-conversations (Option B)

Why:
  • The task uses the Language Service’s Conversation Analysis feature to identify intent from text. The appropriate Python SDK to call a deployed Conversation model is the azure-ai-language-conversations package.
  • Other options are for different capabilities:
- azure-cognitiveservices-language-textanalytics is the older Text Analytics API (sentiment, key phrases, etc.), not for custom intent models. - azure-mgmt-cognitiveservices is for resource management, not calling models. - azure-cognitiveservices-speech is for Speech services (speech-to-text, etc.), not text intent.
Practical note (conceptual):
  • Install: pip install azure-ai-language-conversations
  • Use the ConversationAnalysisClient to call your deployed model (

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: Azure Cognitive Services.

  • Why: A single multi-service Azure Cognitive Services resource provides one endpoint and one credential that can be used to access multiple APIs (e.g., Decision and Language, plus others like Content Moderator). This meets the requirement of using a single endpoint/credential.

  • Why not the others: If you created separate resources for each API (e.g., separate Language, Speech, Content Moderator resources), you’d have multiple endpoints and keys, violating the “single endpoint and credential” requirement. All listed services are part of Cognitive Services, so they share a single Cognitive Services resource.

Singapore, Singapore

Math

Just cleared this exam with the help of this study packge. The test simulator software is amazing. and the AI is very helpful in clarifying the questions. Money well-spent!

United States

VirtuLearn AI

Question 28:
Answer: C — Computer Vision image analysis
Explanation:

  • To generate image tags in multiple languages with minimal development, use the Image Analysis endpoint of the Computer Vision service.
  • Call the API (Analyze Image) with visualFeatures=Tags and specify the language parameter (e.g., language=en, language=fr, language=es). The response returns tags with names localized to the requested language.
  • This approach requires no custom model training, unlike Custom Vision image classification, which would require building and tagging a dataset.
  • Other options:
- Content Moderator is for content safety/moderation, not tagging. - Image Moderation endpoints focus on inappropriate content. - Custom Translator translates text, not image tags.
In short, use the Image Analysis endpoint to get language-localized tags with minimal effort.

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: A. Run the Bot Framework Emulator.

  • Why: The Bot Framework Emulator lets you test and validate a locally running bot before connecting to any channels. It lets you simulate conversations, inspect requests/responses, view state, and debug dialog flows in real time.

  • Why the other options are not correct for pre-connection validation:
- Bot Framework Composer is a design/authoring tool, not a local validation tool for a running bot. - Registering the bot with Azure Bot Service is for cloud deployment, not for initial local validation. - Windows Terminal is just a shell; it doesn’t provide bot testing capabilities.
  • Quick steps (before connecting to channels):
- Install and run the bot locally (e.g., dotnet run or npm start). - Start the Bot Framework Emulator and connect to your bot’s local endpoint (typically http://localhost:3978/api/messages with any app credentials as needed). - Validate conversations, dialogs, and state to ensure correct behavior prior to deployment.

Singapore, Singapore

VirtuLearn AI

Question 10:
Correct answer: B. A new query key was generated.
Explanation:

  • The REST call uses POST to .../regenerateKey with body {"keyName": "Key2"}. This regenerates only the specified key (Key2) for the given Cognitive Services account.
  • The value of Key2 changes to a new secret; Key1 remains unchanged. It does not rotate both keys, nor does it involve Azure Key Vault.
  • After regenerating, update your client applications to use the new Key2 value to continue authenticating.

Singapore, Singapore

VirtuLearn AI

Question 57:
In question 57, after a new feature release users experience latency at login. The first action should be to rollback the recent release to the previous stable version.
Why:

  • Rolling back quickly restores service and user experience, minimizing impact (blast radius) while you investigate the root cause.
  • It buys time to diagnose whether the regression was introduced by the new release.

Why not the other options as the first step:
  • Review Stackdriver monitoring is important for diagnosis, but it doesn’t immediately restore service to normal. Do it after rollback or in parallel to triage.
  • Upsize the VMs may help temporarily but does not address the underlying issue and isn’t a guaranteed fix.
  • Deploy a new release could reintroduce the problem or delay stabilization.

Best practice tip: use feature flags or canary deployments so you can rollback a feature with minimal impact, and have a defined rollback playbook for fast incident response.

Zionsville, United States