[Nov-2024] Dumps Practice Exam Questions Study Guide for the C1000-065 Exam
C1000-065 Dumps with Practice Exam Questions Answers
IBM C1000-065 exam covers a range of topics related to IBM Cognos Analytics development, including data modeling, metadata management, report design, and dashboard development. Candidates are expected to have a deep understanding of the IBM Cognos Analytics platform and be able to apply their knowledge to real-world scenarios. C1000-065 exam consists of multiple-choice questions and is delivered in a proctored environment.
NEW QUESTION # 19
A Framework Manager model may be designed to incorporate Dimensionally Modeled Relational (DMR) objects, designed to offer the end user OLAP behavior when navigating data. Which of the following statements is valid when designing DMR structures in Framework Manager?
- A. Each level in a hierarchy must reference a text-based attribute for its caption.
- B. Measures and Dimensions can reside in the same query subject.
- C. The DMR structures need to resemble the objects in the star schema.
- D. The order of the Determinants drives the hierarchy levels.
Answer: D
Explanation:
When designing Dimensionally Modeled Relational (DMR) structures in Framework Manager, understanding how determinants influence hierarchy levels is crucial. Here is an explanation:
* Determinants in Framework Manager: Determinants are used to define the granularity of data and how it is grouped. They are essential in DMR models to ensure correct aggregation and drill behavior.
* Hierarchy Levels: The order in which determinants are defined in a query subject influences the hierarchy levels. Higher-order determinants represent higher levels in the hierarchy, while lower-order determinants represent more granular levels.
* Configuration: Configure determinants in the properties of a query subject. The sequence of determinants determines how data is aggregated and navigated in reports.
* Impact on OLAP Behavior: Properly ordered determinants ensure that measures and dimensions behave correctly, allowing users to drill down and roll up data accurately in reports.
NEW QUESTION # 20
What is a Compare card in a Cognos Analytics Exploration?
- A. A view/card used to allow the interactive comparison of data across two visualizations with different filters.
- B. A static view/card used to compare and view data across visualizations with different filters.
- C. A view/card that uses a specialized algorithm (XGCompare) to analyse data and generate a driver
- D. A view/card used to compare data from one database with a different set of data from another database.
Answer: A
NEW QUESTION # 21
What is a Jupyter Notebook?
- A. An interface in Cognos Analytics that uses Cognos syntax to produce statistical and predictive model
- B. An area where the developer can comment on Cognos Analytics assets to help the end user and embedded AI understand what is available
- C. An open-source web application that allow you to create and share documents that contain live code, equations, visualizations and narrative text
- D. The core component used by Cognos Analytics for its AI in Intent based model, Nature Language processing and Explorations
Answer: C
NEW QUESTION # 22
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. Change the Represents property for the attribute to Geographic location.
- B. Use the create map wizard.
- C. Select an empty Map visualization then drag this onto the data.
- D. Set the visualization property to Map.
Answer: A
NEW QUESTION # 23
Select all that apply
Place in order the steps that need to performed in order to set up a Multilingual Dashboard.
Answer:
Explanation:
Explanation
Place dashboard in edit mode
Set default language
Add language
Enter translated string
NEW QUESTION # 24
In a Data Module a developer creates a joined view from two tables (a and b) and then joins this to another table (c). What would be the execution logic in the database?
- A. It makes no difference to the execution as a joined view is only used to group data items in a logical manner to help the business user find their data.
- B. The joined view (a and b) is evaluated and all results are then post-joined to the other table (c).
- C. The columns used in table (c) are are joined on the key to table (b) first and then the results are post-joined to table (a).
- D. All queries are collapsed and a standard join across all three tables (a, b, c) is performed.
Answer: B
Explanation:
Joined Views in Data Modules: When creating joined views in Cognos Analytics, the order of joins and evaluation is significant.
Execution Logic: The joined view of tables (a and b) is first evaluated. The result of this join is then used to perform the subsequent join with table (c).
Post-join Evaluation: This approach ensures that the initial join logic is preserved and applied before the next join is executed.
Reference: The IBM Cognos Analytics V11.1.x documentation outlines the process of creating and using joined views, detailing how the execution logic is handled by the database.
NEW QUESTION # 25
After adding a prompt to a relational sourced report it is decided that the consumers require multi-select functionality instead of a single-select. What two modifications must be made to the report?
- A. Change the Cascade source property of the Prompt to represent more than one value.
- B. Change the Prompt property Multi-select to Yes.
- C. Change the Prompt property Usage to Select-many.
- D. Change the Filter expression of the Query from "=" to use "in".
- E. Change the Filter property Multi-select to Yes
Answer: C,D
Explanation:
To modify a prompt in a relational sourced report to support multi-select functionality, make the following changes:
* Change Prompt Property Usage to Select-many:
* Edit the Prompt: Select the prompt object in the report.
* Property Panel: In the properties panel, change the "Usage" property from "Select-one" to
"Select-many". This allows users to select multiple values in the prompt.
* Update Filter Expression:
* Edit Query: Open the query associated with the prompt.
* Change Filter Expression: Modify the filter expression from using "=" to "in". This change ensures that the filter can handle multiple values selected by the user.
These modifications enable the prompt to accept multiple selections and apply the filter accordingly in the report.
NEW QUESTION # 26
A user complains that the table they're using within a data module has too much historical data in it. The user would like to keep the old data available, but when using the table for any new reports would like to see only newer entries based on an 'Order Date' column. What does the developer need to do to accomplish this?
- A. Create a navigation path for the newer entries.
- B. Create a calculated 'Order Date'.
- C. Apply a filter to the "Order Date' attribute.
- D. Create a copy of the table, and apply a filter to the 'Order Date' attribute.
Answer: A
NEW QUESTION # 27
Which of the following can result in poor report performance?
- A. an optimized metadata model
- B. queries with database only processing
- C. reports with filters
- D. models with outer joins and cross joins
Answer: D
Explanation:
* Understanding Joins: Outer joins and cross joins often result in large intermediate result sets. This can slow down query performance due to the increased data processing required.
* Outer Joins: These include rows that do not have matching keys in the joined tables, which means more data to process and potentially more I/O operations.
* Cross Joins: These produce Cartesian products of the involved tables. If the tables are large, the resulting dataset can be enormous, leading to significant performance degradation.
* Cognos Documentation: The IBM Cognos Analytics V11.1.x documentation advises optimizing join conditions and limiting the use of complex joins such as outer and cross joins to enhance performance.
NEW QUESTION # 28
What is the difference between a Cognos Analytics Story and Dashboard?
- A. Stories use report objects to present information in an exported format whilst a dashboard is interactive.
- B. A story adds to a dashboard's capability by augmenting it with animation and scene changes.
- C. A dashboard is a Cognos Analytics story.
- D. Dashboards are live and interactive whereas a Story is the notes attached to the dashboard that help explain the content of a widget.
Answer: B
Explanation:
In IBM Cognos Analytics, the difference between a Story and a Dashboard is primarily in their functionality and presentation:
* Dashboard:
* Live and Interactive: Dashboards provide real-time, interactive visualizations that allow users to explore and analyze data dynamically.
* Widgets: Composed of various widgets (charts, graphs, tables) that update automatically with changes in data.
* Story:
* Augmented with Animation and Scenes: Stories build on dashboards by incorporating animation and scene changes. They allow users to create a narrative flow with transitions between scenes.
* Presentation: Designed to present data in a structured, sequential manner, often used for storytelling and presentations.
A story enhances a dashboard by adding the capability to create a more engaging and informative narrative with animations and scene transitions.
NEW QUESTION # 29
A dashboard developer notices that Age is available in the sourced data module. A request has been made to
'bucket' those age values into 5 groups, Ages 0-6, 7-12, 13-21, 22-55, and 55 and over. How would one define this logic in the source data module?
- A. set range values in the data module
- B. select the Age column, and select Create data group
- C. use the Create new table feature
- D. define a Case..When calculated attribute in the dashboard
Answer: A
NEW QUESTION # 30
When Insights are turned on what are all of the generated outcomes, depending on the visualization selected ?
- A. Average, Predictive Strength, Fit Line, Meaningful Difference and most frequent values
- B. Top five and Bottom Five values
- C. Average, Standard Deviation, Best Fit values
- D. Average, Max and Min values
Answer: A
Explanation:
Insights Feature: When Insights are turned on in IBM Cognos Analytics V11.1.x, the system generates various statistical and analytical outcomes depending on the selected visualization.
Generated Outcomes: These include:
* Average: Calculates the mean value of the data set.
* Predictive Strength: Indicates the strength of the predictive relationship between variables.
* Fit Line: A trend line that best fits the data points in the visualization.
* Meaningful Difference: Highlights statistically significant differences within the data.
* Most Frequent Values: Identifies the most common values in the data set.
Cognos Documentation: The IBM Cognos Analytics V11.1.x documentation details the Insights feature, explaining how these various outcomes are derived and how they can be used to enhance data analysis and decision-making.
NEW QUESTION # 31
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. Unions and Joins are always required for queries making it easier for a developer to understand the query intent.
- C. Fewer queries are required and the need for unions of queries is reduced due to the flexibility of MDX.
- D. There is no advantage and multidimensional query constructs should be avoided.
Answer: C
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 # 32
Which two types of saved report outputs can be used when the Drill-through target type is set to Bookmark?
- A. Excel Data
- B. XML
- C. PDF
- D. HTML
- E. CSV
Answer: C,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 # 33
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. Change the Represents property for the attribute to Geographic location.
- B. Use the create map wizard.
- C. Select an empty Map visualization then drag this onto the data.
- D. Set the visualization property to Map.
Answer: A
Explanation:
Represents Property: In Cognos Analytics, the Represents property helps define how an attribute should be interpreted and visualized.
Geographic Location: Setting the Represents property of an attribute to Geographic location signals to Cognos that this data should be visualized on a map by default.
Implementation: This ensures that when a user drags this attribute onto a dashboard, Cognos will automatically use the Map visualization.
Reference: According to the IBM Cognos Analytics V11.1.x documentation, setting the Represents property to Geographic location is the correct method to ensure default map visualization for geographic data.
NEW QUESTION # 34
Which of the following is a reason to use a Conditional block on a report?
- A. to show or hide report objects based on prompt selections a user made at run time
- B. to allow users to select values that will filter the report for certain data types
- C. to allow a report to run during certain blocks of time based on conditions set by the user
- D. to block defined groups of users from accessing a folder of reports based on a condition
Answer: D
NEW QUESTION # 35
A developer has nested two non-measures in a Column visualization in a dashboard. How would the developer manually order the columns to get the column order to show properly?
- A. Select Sort remaining items by Auto.
- B. Use custom sorting.
- C. Use automatic sorting.
- D. Uncheck sort automatically, and drag the columns to the correct order.
Answer: B
NEW QUESTION # 36
What is the significance of 'Clothes' in the following filter expression of a report query?
[Product Group] = # sq( prompt( 'productgroups', 'token', 'Clothes' ) )#
- A. The string 'Clothes' will be appended to the end of the text of the prompt value selected at runtime.
- B. 'Clothes' is the default text to include in the generated query at runtime.
- C. 'Clothes' is a required value to include in the generated query at runtime.
- D. The string 'Clothes' will precede the text of the prompt value selected at runtime.
Answer: B
Explanation:
Filter Expression: The filter expression[Product Group] = # sq( prompt( 'productgroups', 'token', 'Clothes' ) )#uses a prompt macro.
Default Text: The string 'Clothes' acts as the default value for the prompt. If the user does not provide a value at runtime, 'Clothes' will be used in the generated query.
Macro Function: Thepromptfunction retrieves the value provided by the user or defaults to 'Clothes' if no value is supplied.
Reference: IBM Cognos Analytics V11.1.x documentation provides detailed information on using macros and prompt functions, including the use of default values in filter expressions.
NEW QUESTION # 37
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