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IBM i2 Analysts Notebook V9 is an advanced software application that helps analysts to visualize and analyze complex data sets, including text, links, images, and geospatial information. It provides powerful capabilities for data link analysis, pattern identification, entity extraction, and many other functions that are crucial for intelligence analysis. The software is widely used by government agencies, law enforcement, commercial organizations, and defense contractors.
Reference: https://www.ibm.com/certify/exam?id=C2065-055
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To make sure that all test takers are evaluated uniformly, the IBM C2065-055 exam consists of multiple choice and short answer questions that are designed to assess the test taker's understanding of the topics related to i2 Analysts Notebook V9. The topics that are covered in the exam include data modeling, chart creation, chart customizations, analysis tools, query tools, entity analytics, and link analysis.
By passing the IBM C2065-055 exam, an individual can demonstrate eligibility for job roles such as data analysts, intelligence analysts, and law enforcement professionals. Furthermore, this certification may also provide a competitive advantage over other candidates who do not possess it, as it indicates the individual's expertise in using the IBM i2 Analysts Notebook V9 software.
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IBM C2065-055 certification exam is a comprehensive exam that requires individuals to demonstrate their knowledge and skills in a range of areas related to the IBM i2 Analysts Notebook V9 software. C2065-055 exam is designed to be challenging and requires individuals to demonstrate their ability to analyze complex data sets, visualize data in a meaningful way, and manage data effectively. Individuals who pass the exam will be certified professionals in the IBM i2 Analysts Notebook V9 software and will be recognized for their expertise and skills in the field of data analysis and investigation.
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| Section | Weight | Objectives |
|---|---|---|
| Core Application Knowledge | 10% | - Data locations and storage - Identities and labels - Entities and links fundamentals - Standard and custom attributes |
| Data Import and Management | 25% | - Importing data from various sources - Resolving import warnings - Handling duplicates and errors - Data preparation and validation |
| Manual Chart Creation | 15% | - Building and structuring charts - Entity representations and types - Link and connection properties - Association and timeline charts |
| Presentation of Analytical Results | 10% | - Preparing charts for output - Using legends and formatting - Dissemination and export options - Chart security settings |
| Analyze Charts | 40% | - Social Network Analysis and centrality measures - List items and filtering - Find Networks and semantic types - Conditional formatting and chart layouts - Visual Search and query construction |
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