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The IBM Certified Designer - IBM Cognos Analytics Author V11 Certification exam contains a high value in the market is the brand value of the IBM attached with it.
Reference: https://www-03.ibm.com/certify/exam.html?id=C2090-621
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IBM C2090-621 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cognos Analytics Author V11 |
| Exam Number: | C2090-621 |
| Available Languages: | English |
| Related Certifications: | IBM Cognos Analytics Administrator IBM Data & AI certifications |
| Exam Format: | Scenario-based questions, Multiple choice |
| Recommended Training: | IBM Cognos Analytics Training |
| Exam Registration: | IBM Certification Portal Pearson VUE IBM Exams |
| Sample Questions: | IBM C2090-621 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE |
| Pre Condition: | Basic understanding of business intelligence concepts and IBM Cognos Analytics is recommended. |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
How to study C2090-621 Exam
IBM offered the following courses to help you prepare for the certification tests.
- IBM Cognos Analytics - Author Active Reports (v11.0)
- IBM Cognos Analytics - Author Reports Fundamentals (v11.0)
- IBM Cognos Analytics - Author Reports Advanced (v11.0)
This course is recommended, but not required, before taking a C2090-621 certification exam. When preparing for the C2090-621 certification exam, keep in mind that real world experience is required to stand a reasonable chance of passing C2090-621 exam.
Certification Path
The IBM Cognos Analytics Author V11 certification path includes only one C2090-621 certification exam.
IBM C2090-621 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Sharing and Collaboration | - Managing permissions and access - Publishing reports and dashboards |
| Dashboard Creation | - Using visualizations effectively - Building interactive dashboards - Sharing dashboards |
| Working with IBM Cognos Analytics | - Understanding content organization and access - Navigating the Cognos Analytics interface |
| Data Preparation and Modeling | - Data cleansing and shaping concepts - Using data modules - Connecting to data sources |
| Report Authoring | - Using prompts and filters - Creating reports - Formatting and layout design |
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