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IBM C1000-065 is a certification exam that is designed for individuals who want to become an IBM Cognos Analytics Developer. C1000-065 exam is intended to test the candidate's skills and knowledge in developing IBM Cognos Analytics solutions. C1000-065 exam is based on the latest version of the software, which is V11.1.x. Passing C1000-065 exam is a great way for individuals to demonstrate their proficiency in developing IBM Cognos Analytics solutions.

IBM C1000-065 Exam is suitable for those who have experience with IBM Cognos Analytics and want to further develop their skills in designing and implementing advanced BI solutions. C1000-065 exam covers a wide range of topics, including data modeling, report authoring, dashboard creation, and administration.

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IBM Cognos Analytics Developer V11.1.x Sample Questions (Q28-Q33):

NEW QUESTION # 28
How can a data module developer ensure that when a user drags an attribute onto a dashboard that the Map visualization is the default?

A. Use the create map wizard.
B. Change the Represents property for the attribute to Geographic location.
C. Select an empty Map visualization then drag this onto the data.
D. Set the visualization property to Map.

Answer: B

NEW QUESTION # 29
Which two types of saved report outputs can be used when the Drill-through target type is set to Bookmark?

A. Excel Data
B. HTML
C. XML
D. PDF
E. CSV

Answer: B,D

Explanation:
When the Drill-through target type is set to Bookmark in IBM Cognos Analytics V11.1.x, the following types of saved report outputs can be used:
* HTML:
* Interactive Output: HTML outputs are interactive and support bookmarks, allowing users to navigate to specific sections within the report.
* Usability: Ideal for web-based viewing and interaction.
* PDF:
* Static Output: PDF outputs support bookmarks and provide a static, paginated format that is useful for printing and sharing.
* Accessibility: Bookmarks in PDFs enhance navigation within long documents.
These output types leverage the bookmark functionality to improve navigation and user experience.

NEW QUESTION # 30
What advantage does multidimensional report writing have on query maintenance for complex queries?

A. There is no need to use calculations as the data source contains all the required data items.
B. Fewer queries are required and the need for unions of queries is reduced due to the flexibility of MDX.
C. Unions and Joins are always required for queries making it easier for a developer to understand the query intent.
D. There is no advantage and multidimensional query constructs should be avoided.

Answer: B

Explanation:
Multidimensional Report Writing: This approach leverages MDX (Multidimensional Expressions), which is optimized for querying multidimensional data.
Flexibility of MDX: MDX's flexibility allows complex queries to be written more efficiently, reducing the need for multiple queries and unions.
Query Maintenance: This reduces the maintenance burden, as fewer queries are needed and the queries are more straightforward to manage.
Reference: IBM Cognos Analytics V11.1.x documentation emphasizes the advantages of using MDX for complex queries in multidimensional report writing, particularly in minimizing the number of required queries and unions.

NEW QUESTION # 31
Which of the following is an example of when the query cache would avoid roundtrips to the database?

A. reports with multiple queries
B. drill through reports
C. repetitive master-detail requests
D. drill down reports

Answer: C

NEW QUESTION # 32
What is a Jupyter Notebook?

A. An area where the developer can comment on Cognos Analytics assets to help the end user and embedded AI understand what is available
B. An open-source web application that allow you to create and share documents that contain live code, equations, visualizations and narrative text
C. An interface in Cognos Analytics that uses Cognos syntax to produce statistical and predictive model
D. The core component used by Cognos Analytics for its AI in Intent based model, Nature Language processing and Explorations

Answer: B

Explanation:
Jupyter Notebook: This is a widely used open-source web application in the data science community.
Functionality: It enables users to create and share documents that include live code (in various programming languages like Python), equations, visualizations, and narrative text.
Integration with Cognos: In Cognos Analytics, Jupyter Notebooks can be integrated to perform advanced data analysis, leverage machine learning libraries, and present findings interactively.
Reference: The IBM Cognos Analytics V11.1.x documentation describes Jupyter Notebooks as a tool for creating interactive and shareable documents, highlighting their use in combining code execution, data analysis, and explanatory text.

NEW QUESTION # 33
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