During exam development, the Subject Matter Experts (SMEs) define all of the tasks, knowledge and experience that an individual would need in order to successfully fulfill their role with the product or solution. These are represented by the objectives below and the questions on the exam are based upon these objective.
","OVERVIEW_JOB_SKILL":null,"EXAM_TIME_LIMIT":90,"EXAM_PASSING_SCORE":70,"EXAM_NUMBER_OF_QUESTIONS":61,"EXAM_NUMBER_OF_QUESTIONS_TO_PASS":43,"EXAM_PRICE_DEVELOPED":null,"EXAM_PRICE_EMERGING":null,"EXAM_PRICE_JAPAN":null,"AVAILABLE_FOR_PROCTOR_FLAG":true,"WITHDRAWAL_WARNING_DAYS":30,"BADGE_REPLACED_FLAG":false,"REPLACE_BY_BADGE_ID":null,"EDUCATION_OVERVIEW":"All IBM certification tests presume a certain amount of \"on-the-job\" experience which is not present in any classroom or Web presentation. The recommended courses and links will help you gain the skill and product knowledge represented in the test objectives. They do not teach the answers to the test questions and are not intended to do so. This information may not cover all subject areas in the certification test or may contain more recent information than is present in the certification test. Taking these or any classes will not guarantee that you will achieve certification.
","JTA_OBJECTIVE_UPLOAD_PATH":null,"JTA_SURVEY_FLAG":true,"JTA_JOB_ROLE_DESCRIPTION":"An Associate Data Scientist has fundamental data science skills and has knowledge using IBM watsonx.ai to solve business problems with machine learning solutions. This includes the ability to connect machine learning solutions to enterprise requirements and understand when to apply an enterprise AI workflow.
Concepts in this Associate level exam include:
Problem scoping and tool selection
Exploratory data analysis
Feature engineering
Model training and selection
Model evaluation
","BLUEPRINT_UPLOAD_PATH":null,"SURVEY_FROM_JTA_COUNT":13,"PLANNED_ASSESSMENT_EXAM_FLAG":true,"PLANNED_SAMPLE_QUESTIONS_FLAG":true,"NUMBER_OF_LIVE_FORMS":2,"NUMBER_OF_ITEMS_PER_FORM":61,"MINIMALLY_COMPETENT_CANDIDATE":"An Associate Data Scientist has fundamental data science skills and has knowledge using IBM watsonx.ai to solve business problems with machine learning solutions. This includes the ability to connect machine learning solutions to enterprise requirements and understand when to apply an enterprise AI workflow.
Concepts in this Associate level exam include:
Problem scoping and tool selection
Exploratory data analysis
Feature engineering
Model training and selection
Model evaluation
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Concepts in this Associate level exam include:
Problem scoping and tool selection
Exploratory data analysis
Feature engineering
Model training and selection
Model evaluation
","ITEMTYPE_OTHER":false,"TARGET_PUBLICATION_DATE":"2024-05-06","PEARSONVUE_START_DATE":null,"ACTUAL_START_DATE":"2024-05-23 00:00:00.000000","FORMS_PSYCHOMETRICIAN_NAME":"Isaac Pfleger","FORMS_PSYCHOMETRICIAN_EMAIL":"isaac@cms.itemexperts.com","PEARSONVUE_SELECTION":"Publish according to business rules","ASSESSMENT_FLAG":true,"PARENT_FORMS":"Form A,Form B,Form C","GOVERNANCE_COMPLETED_FLAG":true,"WITHDRAWAL_REASON":null,"WITHDRAWAL_REASON_COMMENT":null,"PV_PUBLISH_DATE":"2024-05-23 22:21:22.635079","READY_FOR_LIVE_DATE":"2024-05-23 22:24:28.445211","UUID":"eaac7c45-8075-4ac5-aec0-672ade772c06","GO_LIVE_DATE":"2024-05-24 13:56:56.270833","MKTGCATEGORY":"MBDA1","EXAM_STATUS":"Live","MKTGCATEGORY_NAME":"Data, Analytics, and AI","OBJECTIVES":[{"EXAM_SERIES_CODE":"C1000-177","EXAM_OBJECTIVE_ID":0,"EXAM_OBJECTIVE_TITLE":"Evaluate the Business Problem","PERCENTAGE_OF_OBJECTIVE_QUESTIONS":"16","EXAM_OBJECTIVE_DESCRIPTION":"