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Free Qlik AI Specialist Certification Exam Practice Questions

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Sample Practice Questions

Try these 10 sample questions from the Qlik AI Specialist Certification Exam practice bank. Each includes the answer and explanation. Continue with the interactive practice above to review the full question set.

  1. 1Which description best distinguishes machine learning from explicitly coded task rules?

    1. A.Learning predictive patterns from training dataCorrect answer: A
    2. B.Executing only a fixed list of human-written cases
    3. C.Retrieving only records with identical stored text
    4. D.Replacing input data with preselected conclusions

    Explanation: IBM states, "Directly underneath AI, we have machine learning, which involves creating models by training an algorithm to make predictions or decisions based on data." Learning from training data distinguishes the approach; a rule list, exact record lookup and predetermined conclusions do not perform that learning.

    Reference: IBM: What is artificial intelligence? — Machine learning

  2. 2A manufacturer wants to use sensor readings to anticipate equipment failures before they occur. Which application matches this goal?

    1. A.Generating written descriptions of historical repairs
    2. B.Identifying equipment types from photographs
    3. C.Summarizing technicians' maintenance notes
    4. D.Predictive maintenance using sensor readingsCorrect answer: D

    Explanation: IBM states, "Machine learning models can analyze data from sensors, Internet of Things (IoT) devices and operational technology (OT) to forecast when maintenance will be required and predict equipment failures before they occur." Predictive maintenance anticipates failure from operational sensor data. Descriptions, image recognition and note summarization do not make that future failure prediction.

    Reference: IBM: What is artificial intelligence? — AI use cases > Predictive maintenance

  3. 3A Qlik Cloud team has created a knowledge base for its legacy Qlik Answers documentation assistant. What must it do to let that assistant use the content?

    1. A.Add the knowledge base to the assistantCorrect answer: A
    2. B.Give both objects the same name without linking them
    3. C.Mention the knowledge base only in the welcome message
    4. D.Add its name as a conversation starter without linking it

    Explanation: Qlik states, "Create your assistant and add knowledge bases to the assistant." Content access requires adding the knowledge base to the assistant. Matching names and user-facing text do not establish that association.

    Reference: Qlik Answers legacy experience — Qlik Answers legacy workflow > Create your assistant

  4. 4When configuring a Qlik automated machine learning experiment, what does the target identify?

    1. A.An input variable used to help explain the outcome
    2. B.The row identifier used to distinguish observations
    3. C.A hyperparameter controlling how training is run
    4. D.The outcome the model is intended to predictCorrect answer: D

    Explanation: Qlik states, "Select a target to make predictions on and features to support the prediction." The target is the output to predict. Inputs, observation identifiers and training hyperparameters play different roles.

    Reference: Working with ML experiments — Workflow > Configure your experiment

  5. 5In an application where Insight Advisor is available, what can Insight Advisor Search return from a natural-language question?

    1. A.A newly trained model for predictive customer scoring
    2. B.A new deployment for real-time machine learning inference
    3. C.Relevant visualizations of the application's dataCorrect answer: C
    4. D.A refreshed index of unstructured knowledge-base files

    Explanation: Qlik states, "Insight Advisor Search is a Insight Advisor feature that allows you to ask natural language questions in an application and receive relevant visualizations." Insight Advisor Search returns application visualizations. Predictive-model training, deployment and document indexing are other Qlik workflows.

    Reference: Navigating Insight Advisor — Insight Advisor Search

  6. 6What makes deep learning a particular form of machine learning?

    1. A.It operates without any model parameters
    2. B.It relies on multilayered neural networksCorrect answer: B
    3. C.It replaces training data with lookup tables
    4. D.It requires a single fixed decision rule

    Explanation: IBM states, "Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, that more closely simulate the complex decision-making power of the human brain." The defining mechanism is the multilayered neural network, rather than absence of parameters, a lookup table or a single fixed rule.

    Reference: IBM: What is artificial intelligence? — Deep learning

  7. 7A payments team wants to flag transaction behavior that departs from normal spending patterns. Which AI use case addresses this requirement?

    1. A.Anomaly-based fraud detectionCorrect answer: A
    2. B.Generating prose descriptions of completed transactions
    3. C.Summarizing customers' monthly account statements
    4. D.Translating customer payment-dispute messages

    Explanation: IBM states, "Machine learning and deep learning algorithms can analyze transaction patterns and flag anomalies, such as unusual spending or login locations, that indicate fraudulent transactions." Anomaly-based detection flags unusual transaction behavior. Generation, summarization and translation serve different transaction-support tasks.

    Reference: IBM: What is artificial intelligence? — AI use cases > Fraud detection

  8. 8Documents used by a Qlik Answers knowledge base change regularly. Which workflow keeps the indexed content current?

    1. A.Update the welcome message after a source edit
    2. B.Schedule indexing of the knowledge-base data sourcesCorrect answer: B
    3. C.Add more conversation starter questions
    4. D.Change the knowledge base's description without reindexing

    Explanation: Qlik states, "Keep data sources up-to-date with scheduled indexing of data sources." Indexing refreshes the source representation; welcome text, starter questions and descriptions do not refresh indexed document contents.

    Reference: Qlik Answers legacy experience — Qlik Answers legacy workflow > Synchronize the indexing of the knowledge base

  9. 9Which candidate feature meets Qlik's requirement that its value be available when next-month churn is predicted?

    1. A.Account tenure measured at the prediction pointCorrect answer: A
    2. B.A final cancellation reason recorded after the customer has churned
    3. C.A next-month refund amount known only after the prediction period
    4. D.A future retention-call result collected after the prediction is issued

    Explanation: Qlik states, "Make sure that all the features you include in the training dataset will be available also for future predictions." A usable feature must exist at prediction time. The other choices rely on later outcomes or interventions unavailable when the prediction is issued.

    Reference: Getting your dataset ready for training — Will the data be available at the time of prediction?

  10. 10A user wants to choose a specific analysis type and the data used for it in Insight Advisor. Which feature is designed for this?

    1. A.Insight Advisor Search using a typed question
    2. B.General properties for saved analysis precedents
    3. C.Business logic vocabulary for field synonyms
    4. D.Insight Advisor Analysis TypesCorrect answer: D

    Explanation: Qlik states, "Insight Advisor Analysis Types is an Insight Advisor feature that creates visualizations for you by letting you select the analysis type you want to see and the data you want used." Analysis Types provides direct type-and-data parameter selection. Search generates from a query; general properties and vocabulary serve different configuration tasks.

    Reference: Navigating Insight Advisor — Insight Advisor Analysis Types

Exam Review

About Qlik AI Specialist Certification Exam

Qlik AI Specialist Certification Exam · US

Key exam facts

Provider
Qlik is the certification program and exam owner; exams are accessed through Qlik Learning and delivered/proctored through Kryterion's Webassessor.
Format
Online, proctored multiple-choice examination, including questions requiring a specified number of responses; some questions include an exhibit. Available in English.
Exam questions
Total questions: 50.
Time limit
90 minutes; non-native English speakers may request additional time through Qlik Support.
Passing score
73%; scoring is based on correctly answered questions. Multiple-response questions require exactly the specified number of answers; no partial credit.
Exam fee
USD 250 per exam attempt; payment by credit/debit card or applicable certification voucher. Qlik Partner Program discounts apply at checkout; banks convert to local currency.

Topics covered

  • Introduction to Artificial Intelligence (30%)

    • Understand various subsets of AI including GenAI and machine learning.
    • Contrast the different ways humans communicate with AI (Natural Language Processing, Large Language Models).
    • Define common AI terms and concepts.
  • Business applications for Artificial Intelligence (30%)

    • Identify appropriate use cases for GenAI and machine learning.
    • Recognize the LLM Application Project Lifecycle.
    • Evaluate the production of LLM apps including adapting data pipelines, reducing latency, and expanding the usefulness of LLMs.
    • Explain the fundamentals of the Machine Learning workflow.
    • Assess Data Governance, security practices, and ethical considerations for projects involving AI.
    • Identify the limitations of AI and the data challenges involved in implementing GenAI.
  • Fundamentals of Qlik Answers (15%)

    • Outline a typical workflow for Qlik Answers.
    • Recognize key concepts and terms associated with Qlik Answers, including retrieval augmented generation (RAG).
    • Evaluate use cases for Qlik Answers.
  • Fundamentals of Qlik Machine Learning (15%)

    • Understand the foundations of Qlik AutoML.
    • Demonstrate appropriate application of the Qlik AutoML workflow.
    • Evaluate use cases for Qlik Auto ML.
  • Fundamentals of Insight Advisor (10%)

    • Generate insights using Insight Advisor.
    • Demonstrate best practices in interacting with Insight Advisor (prompt generation).

How to prepare

Work through the topics, read the explanation after each answer, and revisit the areas where you miss questions. Use the official outline and reference materials below to guide your study.

These independent practice questions are not actual exam items and do not guarantee a passing result.

Frequently asked questions

What is the exam format?

Online, proctored multiple-choice examination, including questions requiring a specified number of responses; some questions include an exhibit. Available in English.

How many questions are on the exam?

Total questions: 50.

How long is the exam?

90 minutes; non-native English speakers may request additional time through Qlik Support.

What is the passing score?

73%; scoring is based on correctly answered questions. Multiple-response questions require exactly the specified number of answers; no partial credit.

How much does the exam cost?

USD 250 per exam attempt; payment by credit/debit card or applicable certification voucher. Qlik Partner Program discounts apply at checkout; banks convert to local currency.

Official sources and references

Confirm current exam arrangements with the exam provider.