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IBM C1000-065 Exam is designed for professionals who are interested in developing their skills in IBM Cognos Analytics Developer V11.1.x. IBM Cognos Analytics Developer V11.1.x certification exam is ideal for individuals who want to demonstrate their expertise in IBM Cognos Analytics and their ability to develop customized solutions for clients.
IBM Cognos Analytics Developer V11.1.x Sample Questions (Q49-Q54):
NEW QUESTION # 49
When should a dimensional function be used in a report's Query calculation?
Answer: D
Explanation:
In IBM Cognos Analytics V11.1.x, dimensional functions should be used in a report's Query calculation when working with a dimensional or dimensionally-modeled data source. Here's why:
* Dimensional Data Sources:
* Structure: Dimensional data sources are organized into dimensions, hierarchies, and measures.
These structures support advanced analytical capabilities such as drill-down and roll-up.
* Dimensional Functions: Functions such asmember,ancestor,children, etc., are specifically designed to navigate and manipulate the hierarchical data structures in dimensional sources.
* Query Calculations:
* Contextual Calculations: Dimensional functions allow for context-aware calculations, leveraging the inherent structure of the data source. This ensures that calculations respect the dimensional context and hierarchy.
* Analytical Depth: Using dimensional functions enables deeper analytical capabilities, such as performing relative date calculations, time series analysis, and hierarchical aggregations.
Dimensional functions are essential for harnessing the full analytical power of dimensionally-modeled data sources.
NEW QUESTION # 50
A developer may improve the look and feel of a dashboard or story by adding images and shapes from the Widgets panel. Which statement is true when adding widgets to a dashboard?
Answer: C
NEW QUESTION # 51
In which two places is Al used in a dashboard line chart visualization?
Answer: A,E
Explanation:
In IBM Cognos Analytics V11.1.x, AI is utilized in a dashboard line chart visualization in the following ways:
* Forecast:
* AI-Powered Predictions: The forecast feature uses AI algorithms to predict future values based on historical data trends. This helps in making data-driven forecasts directly within the line chart visualization.
* Enable Forecast: Users can enable forecasting on the line chart to visualize potential future data points.
* Meaningful Differences:
* Identifying Significant Variations: AI helps to highlight meaningful differences in the data, such as outliers or significant changes. This assists users in quickly identifying and focusing on important data variations.
* Automatic Analysis: The system automatically analyzes the data and emphasizes variations that are statistically significant.
These AI-driven features enhance the analytical capabilities of dashboard visualizations, providing deeper insights and predictive analysis.
NEW QUESTION # 52
What advantage does multidimensional report writing have on query maintenance for complex queries?
Answer: A
NEW QUESTION # 53
What is a Layout component reference intended to do in a report?
Answer: B
NEW QUESTION # 54
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