C1000-065: IBM Cognos Analytics Developer V11.1.x

C1000-065: IBM Cognos Analytics Developer V11.1.x

Full Name: IBM Cognos Analytics Developer V11.1.x

Exam Code: C1000-065

Certification Overview


An IBM Certified Developer - IBM Cognos Analytics Developer V11.1.x is responsible for building advanced reports and dashboards and connecting to data and modeling meta data sources. This individual has project related experience authoring and troubleshooting complex and intermediate level reports and dashboards and is capable of participating in project implementations as an effective team member.


IBM Cognos Analytics Developer Exam Summary:


Exam Name
IBM Certified Developer - Cognos Analytics V11.1.x
Exam Code 
C1000-065
Exam Price 
$200 (USD)
Duration 
90 mins
Number of Questions 
60
Passing Score 
73%
Books / Training
Sample Questions
Practice Exam

IBM C1000-065 Exam Syllabus Topics:


Topic Details Weights
Dashboards - Explain design considerations for small form factors (mobile devices)
- Describe how to create simple Dashboards
- Describe how to create complex interactive Dashboards
- Describe how to modify Dashboards
- Demonstrate how to control Dashboard data
22%
Reports - Describe the various data container types
- Describe how to apply filters
- Describe how to use prompts
- Describe using conditions to control formatting layout and rendering
- Describe using calculations and macros
- Demonstrate presenting data graphically
- Explain designing for multiple outputs
- Describe using reusable objects
- Explain various interactivity usages
- Demonstrate understanding of relational vs dimensional reporting styles
- Demonstrate understanding the use of multiple queries in a report
- Demonstrate understanding the use of multiple Data sources in a report
- Describe forms of report distribution and collaboration
32%
Data - Explain connecting to the Data source
- Describe the various types of Physical Data sources and their usage
- Describe the various types of metadata sources and their usage
- Describe using data shaping (end user data preparation)
21%
Other Features - Describe where the offering uses AI
- Describe ways to augment with AI
- Describe how to create a story for the presentation of information
- Describe where Exploration is used to enhance analytics
10%
Troubleshooting and Performance - Describe utilities that are available in the product for troubleshooting
- Describe approach(s) methods to perform root cause analysis/diagnose issues
15%

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