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IBM C2090-620 Exam Prep Course (Premium File)
AI-Powered IBM Cognos 10 BI Author Exam - Pass on Your First Try

Last updated on Apr 06, 2026

C2090-620 Practice Exam
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C2090-620 Package
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Last Updated: 06-Apr-2026
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All IBM Cognos 10 BI Author certification learning material, study guide, training courses are created by a team of IBM training experts. The Study Guide and .EXM training software files contain relevant IBM Cognos 10 BI Author content, labs, practice questions and explanation. This C2090-620 exam guide and training courses is based on the latest exam outlines available!

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IBM Cognos 10 BI Author Study package designed to help you confidently pass your exam.

The C2090-620 Exam Prep Features:

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How to Prepare and Pass the IBM C2090-620 Exam

As a student aspiring to excel in the field of data management and analytics, taking the IBM C2090-620 exam is a crucial step towards achieving your goals. This article will provide you with all the necessary information and actionable tips to prepare effectively for this exam and increase your chances of success.

About the IBM C2090-620 Exam

The IBM C2090-620 exam, also known as "IBM Cognos 10 BI Author," is designed to validate your knowledge and skills in using IBM Cognos 10 BI tools for authoring reports. Successful completion of this exam demonstrates your ability to create, customize, and manage professional reports using the IBM Cognos 10 BI suite.

Exam Details

  • Exam Code: C2090-620
  • Exam Name: IBM Cognos 10 BI Author
  • Exam Duration: 90 minutes
  • Number of Questions: Varies (typically between 60-70)
  • Passing Score: Varies (typically around 65%)
  • Exam Format: Multiple-choice and multiple-response
  • Exam Language: English

Preparing for the IBM C2090-620 Exam

To maximize your chances of passing the IBM C2090-620 exam, it is essential to have a well-structured study plan and access to reliable resources. Here are some actionable tips to help you prepare effectively:

1. Understand the Exam Objectives

Familiarize yourself with the exam objectives provided by IBM. These objectives outline the key topics and skills that will be tested in the exam. Make sure to allocate sufficient study time for each objective and focus on areas where you need more practice.

2. Review the IBM Cognos 10 BI Documentation

IBM provides comprehensive documentation for Cognos 10 BI, which includes user guides, installation manuals, and developer resources. Review these documents to gain a deeper understanding of the software and its features. Pay close attention to the topics relevant to report authoring.

3. Utilize Official IBM Training Materials

IBM offers various training courses and materials specifically designed for the C2090-620 exam. These resources provide in-depth knowledge and hands-on experience with IBM Cognos 10 BI. Consider enrolling in these courses or accessing the official training materials to enhance your understanding of the subject matter.

4. Practice with Sample Questions

Practice is key to building confidence and familiarizing yourself with the exam format. IBM provides sample questions and practice tests that simulate the actual exam environment. Solve these questions regularly to assess your knowledge and identify areas that require further improvement.

5. Join Online Communities and Forums

Engaging with online communities and forums dedicated to IBM Cognos can be immensely helpful. Participate in discussions, ask questions, and share your knowledge with fellow learners. These platforms often provide valuable insights, tips, and resources that can supplement your exam preparation.

6. Hands-On Experience with IBM Cognos 10 BI

While theoretical knowledge is crucial, hands-on experience is equally important. Practice creating and customizing reports using IBM Cognos 10 BI tools. Explore the different functionalities and features, and strive to develop a strong practical understanding of the software.

7. Review and Revise

Allocate sufficient time for revision before the exam. Review your study materials, notes, and practice questions. Focus on reinforcing your understanding of key concepts, processes, and best practices. Take advantage of any additional study guides or resources recommended by IBM.

Exam Day Tips

On the day of the exam, it is crucial to be well-prepared and focused. Here are some tips to help you perform your best:

1. Get a Good Night's Sleep

Adequate rest is essential for optimal cognitive function. Make sure to get a good night's sleep before the exam day to ensure you are well-rested and alert.

2. Arrive Early

Plan your travel and aim to arrive at the exam center early. This will allow you to settle in, review any last-minute notes, and minimize unnecessary stress or anxiety.

3. Read Instructions Carefully

Take your time to read the exam instructions thoroughly before starting. Understanding the guidelines and requirements will help you approach the questions with clarity and confidence.

4. Manage Your Time

Divide your time wisely among the questions. Prioritize the ones you find easier and allocate sufficient time for the more challenging ones. Avoid spending too much time on a single question, as it may negatively impact your overall progress.

5. Stay Calm and Focused

Stay calm and composed throughout the exam. If you encounter difficult questions, take a deep breath, and approach them with a clear mind. Trust in your preparation and do your best to answer each question accurately.

6. Review Your Answers

If time permits, review your answers before submitting the exam. Double-check for any errors or incomplete responses. However, be cautious not to make unnecessary changes that could potentially introduce mistakes.

7. Celebrate Your Accomplishment

Once you've completed the exam, take a moment to acknowledge your hard work and celebrate your efforts. Regardless of the outcome, you have taken a significant step in your professional journey.

By following these tips and dedicating yourself to a structured study plan, you can increase your chances of success in the IBM C2090-620 exam. Remember to stay determined, remain focused, and believe in your abilities. Good luck!

IBM

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VirtuLearn AI

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

Andrea

When I try to access the course by clicking "practice online" it takes me to the free 366 questions. What did I pay for?

Waterbury, 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