Dependable C1000-065 Exam Dumps to Become IBM Certified [Q21-Q45]

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Dependable C1000-065 Exam Dumps to Become IBM Certified

Get Ready with C1000-065 Exam Dumps (2024)


IBM C1000-065 exam is offered by IBM as a proctored exam, which means that it must be taken under the supervision of an authorized proctor. C1000-065 exam consists of 60 multiple-choice questions and the candidates have 90 minutes to complete it. To pass the exam, candidates must score at least 65%. C1000-065 exam fee is $200 USD, and it can be taken at any Pearson VUE testing center worldwide. Upon passing the IBM C1000-065 exam, candidates will receive an IBM Cognos Analytics Developer V11.1.x certification, which is recognized worldwide as a symbol of excellence in IBM Cognos Analytics development.

 

NEW QUESTION # 21
Which statement is true when adding a data source in a dashboard?

  • A. Once a data source has been added it can only be removed by deleting all data sources within the dashboard.
  • B. Only data sources that have been added to a Data Module can be used as a data source.
  • C. Framework Manager Packages, Data Modules and Data sets are the only three types of data sources that can be used when creating a dashboard.
  • D. Framework Manager Packages, OLAP Packages, Data Modules, Data sets and CSV files can all be used when creating a dashboard.

Answer: B


NEW QUESTION # 22
A fast and user friendly way to create an initial dashboard is to use the text-based Assistant. When using the Assistant, which option below will develop a dashboard?

  • A. In the Assistant, enter 'show data', select a datasource from the list, and enter 'create dashboard' or 'build dashboard1.
  • B. In a new dashboard, search for data, select a template and enter 'create'.
  • C. In a new dashboard, select a template and a datasource.
  • D. In a new dashboard, select a datasource, and enter 'create visualization'.

Answer: A

Explanation:
Using the Assistant: The text-based Assistant in IBM Cognos Analytics can help quickly create dashboards by understanding natural language commands.
Creating a Dashboard: By entering 'show data', the Assistant lists available data sources. After selecting a data source, entering 'create dashboard' or 'build dashboard' prompts the Assistant to generate an initial dashboard.
Efficiency: This method provides a fast and user-friendly way to initiate dashboard creation, leveraging AI to streamline the process.
Reference: The IBM Cognos Analytics V11.1.x documentation explains the capabilities of the Assistant, including the steps to create dashboards using simple text commands, ensuring ease of use and quick setup.


NEW QUESTION # 23
When should a dimensional function be used in a report's Query calculation?

  • A. when the data source is a dimensional or dimensionally-modeled data source
  • B. to allow relative date functions to be performed against a non-dimensional data source
  • C. to allow drill up and down on a non-dimensional data source
  • D. to convert a non-dimensional data source into a dimensionally-modeled data source

Answer: B


NEW QUESTION # 24
In which two ways can a specific visualization in a dashboard be filtered?

  • A. A developer can build an embedded filter in a data module.
  • B. A developer can also add a local filter to filter a column or to define a filter condition.
  • C. A developer can only keep or exclude data points within an axis.
  • D. A developer can create a Calculation within the dashboard that will filter a specific visualization.
  • E. A developer can keep or exclude a few data points in the visualization.

Answer: B,E

Explanation:
Local Filters: These allow developers to filter data at the visualization level, providing flexibility in data presentation without altering the underlying data source.
Keep/Exclude Data Points: This feature enables developers to interactively refine the data displayed in a visualization by keeping or excluding specific data points directly within the dashboard.
Cognos Documentation: The IBM Cognos Analytics V11.1.x documentation provides detailed instructions on creating local filters and using interactive filtering options to enhance the user experience in dashboards.


NEW QUESTION # 25
Which statement is true regarding Custom Sorts in dashboards?

  • A. Custom sorts cannot be created on measures.
  • B. A user can create a custom sort on any type of data.
  • C. Custom sorts may only be created in a Data Module.
  • D. Custom sorts may be created by selecting a field in the source pane and going to properties.

Answer: A

Explanation:
Regarding custom sorts in IBM Cognos Analytics dashboards, here's the correct information:
* Creating Custom Sorts:
* Applicable Data Types: Custom sorts can be created on dimensions and categorical data but not on measures. Measures are numerical values used for calculations and aggregations, and sorting them customly is not supported in the same way as categorical data.
* Implementation:
* Procedure: To create a custom sort, select the field from the source pane, right-click, and choose the sorting options from the properties menu. Specify the custom sort order as required.
* Limitations:
* Non-measures Only: Ensure you are applying custom sorts to non-measure fields, such as dimensions or attributes, to control the order in which data is displayed in visualizations.
Custom sorting enhances the presentation and analysis of data by allowing users to define specific order criteria.


NEW QUESTION # 26
To optimize the user experience for dashboards and explorations. Framework Manager packages must be enriched. Which statement is true about enriching Framework Manager packages?

  • A. To access the enrich package functionality, you need read/execute/traverse permissions for the package.
  • B. In order to have enough data to support the Al-functions in your dashboards and explorations, the entire Framework Manager package must be enriched.
  • C. Framework Manager packages are automatically enriched when published to Cognos Analytics.
  • D. A developer can't enrich a package that includes dimensionally modeled (DMR) relational objects.

Answer: B


NEW QUESTION # 27
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. Select an empty Map visualization then drag this onto the data.
  • C. Set the visualization property to Map.
  • D. Use the create map wizard.

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 # 28
How does Dynamic Query Analyzer assist in troubleshooting?

  • A. analyzing Dynamic Reports
  • B. analyzing packages that have Dynamic Queries
  • C. providing graphical representations for the query logs produced by DQM queries
  • D. troubleshooting Data Modules

Answer: C

Explanation:
* Dynamic Query Analyzer: This tool is used to analyze and troubleshoot queries in IBM Cognos Analytics.
* Graphical Representations: The Dynamic Query Analyzer provides graphical representations of the query logs produced by Dynamic Query Mode (DQM) queries. This visualization helps in understanding the query execution and performance.
* Troubleshooting Assistance: By analyzing these graphical logs, developers can identify bottlenecks, optimize query performance, and resolve issues more efficiently.


NEW QUESTION # 29
In which two ways can a specific visualization in a dashboard be filtered?

  • A. A developer can create a Calculation within the dashboard that will filter a specific visualization.
  • B. A developer can also add a local filter to filter a column or to define a filter condition.
  • C. A developer can build an embedded filter in a data module.
  • D. A developer can only keep or exclude data points within an axis.
  • E. A developer can keep or exclude a few data points in the visualization.

Answer: A,D


NEW QUESTION # 30
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 precede 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 be appended to the end of the text of the prompt value selected at runtime.

Answer: D


NEW QUESTION # 31
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. Use custom sorting.
  • B. Use automatic sorting.
  • C. Uncheck sort automatically, and drag the columns to the correct order.
  • D. Select Sort remaining items by Auto.

Answer: A


NEW QUESTION # 32
Which statement is true when formatting text in a dashboard crosstab or table?

  • A. Column titles may be individually formatted in any font/color/size.
  • B. The default object does not wrap text, but it is an option.
  • C. Table summary row may be formatted with a different color.
  • D. Column formatting gets inherited for the table/crosstab summary row.

Answer: C

Explanation:
In IBM Cognos Analytics V11.1.x, when formatting text in a dashboard crosstab or table, the following statement is true:
* Table Summary Row Formatting:
* Customization: You can format the table summary row with a different color. This allows for visual differentiation between the summary row and other rows in the table or crosstab.
* Implementation: Select the summary row, access the formatting options, and apply the desired color.
* Additional Formatting Capabilities:
* Column Titles: Although column titles can be formatted individually in terms of font, color, and size, this is a general capability and not specific to summary rows.
* Text Wrapping: By default, the object does not wrap text, but this option can be enabled if needed.
Applying specific formatting to the summary row enhances the readability and visual appeal of the data presentation.


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. Select an empty Map visualization then drag this onto the data.
  • C. Set the visualization property to Map.
  • D. Use the create map wizard.

Answer: A


NEW QUESTION # 34
What advantage does multidimensional report writing have on query maintenance for complex queries?

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

Answer: B


NEW QUESTION # 35
Which two of the following statements are true when creating a Drill-through for a visualization in a dashboard?

  • A. A developer can create Drill-throughs to other dashboards and reports.
  • B. A developer can create Drill-throughs to a specific story that is created.
  • C. One can pass selected data points to the target Drill-through as long as its data source uses the same values.
  • D. Each visualization can only have a single Drill-through.
  • E. A developer can create a Drill-through to a Webpage.

Answer: A,C


NEW QUESTION # 36
What advantage does multidimensional report writing have on query maintenance for complex queries?

  • A. Unions and Joins are always required for queries making it easier for a developer to understand the query intent.
  • B. Fewer queries are required and the need for unions of queries is reduced due to the flexibility of MDX.
  • C. There is no need to use calculations as the data source contains all the required data items.
  • 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 # 37
Which of the following is an example of when the query cache would avoid roundtrips to the database?

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

Answer: A


NEW QUESTION # 38
What is a Jupyter Notebook?

  • A. An open-source web application that allow you to create and share documents that contain live code, equations, visualizations and narrative text
  • 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 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: A

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 # 39
What technique could be used to investigate report performance?

  • A. Review the system metrics.
  • B. Enable legacy user interface.
  • C. Increase the size limit for the user session.
  • D. Enable the interactive performance assistant

Answer: D

Explanation:
Interactive Performance Assistant: This tool in IBM Cognos Analytics V11.1.x provides real-time performance monitoring and analysis for reports.
Enabling the Assistant: By enabling the interactive performance assistant, users can gather detailed performance metrics as the report runs, which helps identify bottlenecks and areas for optimization.
Benefits: This tool provides insights into query execution times, rendering times, and resource usage, enabling developers to make informed decisions to improve report performance.
Reference: The IBM Cognos Analytics V11.1.x documentation outlines how to enable and use the interactive performance assistant for investigating and improving report performance.


NEW QUESTION # 40
A developer can make a Cognos PowerCube available to end users by creating a package and publishing it.
From which three components is this possible?

  • A. Microsoft Studio
  • B. Framework Manager
  • C. Administration console
  • D. Transformer
  • E. PowerPlay Studio
  • F. PowerPlay Client

Answer: B,C,D

Explanation:
Explanation
https://www.ibm.com/support/knowledgecenter/SSEP7J_11.1.0/com.ibm.swg.ba.cognos.ug_cra.doc/c_powercub


NEW QUESTION # 41
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 copy of the table, and apply a filter to the 'Order Date' attribute.
  • C. Create a calculated 'Order Date'.
  • D. Apply a filter to the "Order Date' attribute.

Answer: A


NEW QUESTION # 42
Which of the following is true about integration with collaboration platforms?

  • A. Integration with any collaboration platform can be used with report objects but not dashboard objects.
  • B. A link to a report in "my content" can be shared to a team Slack channel if the integration is enabled.
  • C. Integration with Slack is supported.
  • D. Integration with IBM Connections is si

Answer: C

Explanation:
IBM Cognos Analytics V11.1.x supports integration with collaboration platforms, including Slack. Here's how this integration works:
* Integration Setup: To integrate Cognos with Slack, configuration must be done in both Cognos Analytics and the Slack workspace.
* Sharing Reports: Once integrated, users can share links to reports directly to Slack channels from within Cognos Analytics.
* Supported Features: The integration allows users to collaborate on report data, discuss insights, and make data-driven decisions within Slack.
* Configuration: This involves setting up OAuth tokens and configuring API access to enable seamless communication between Cognos Analytics and Slack.


NEW QUESTION # 43
When Insights are turned on what are all of the generated outcomes, depending on the visualization selected ?

  • A. Average, Standard Deviation, Best Fit values
  • B. Average, Predictive Strength, Fit Line, Meaningful Difference and most frequent values
  • C. Average, Max and Min values
  • D. Top five and Bottom Five values

Answer: A


NEW QUESTION # 44
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 # 45
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