Get 100% Authentic SAP C-BCBDC-2505 Dumps with Correct Answers [Q21-Q39]

Get 100% Authentic SAP C-BCBDC-2505 Dumps with Correct Answers

New Training Course C-BCBDC-2505 Tutorial Preparation Guide

SAP C-BCBDC-2505 Exam Syllabus Topics:

NEW QUESTION # 21
What are the styles of models?
There are 2 correct answers to this question.
Response:

• A. On-premise
• B. Live
• C. Analytic
• D. Planning

Answer: C,D

NEW QUESTION # 22
What features does the SAP Analytics Cloud calendar provide?
Please choose the correct answer.
Response:

• A. Schedule a file
• B. Assign Reviewer
• C. Collaborate
• D. Create a project plan

Answer: C

NEW QUESTION # 23
What is a Data Product in the context of SAP Business Data Cloud?
Please choose the correct answer.
Response:

• A. A data set with predefined and stable structure and interfaces.
• B. A machine learning algorithm for generating insights.
• C. A cloud-based data storage for large datasets.
• D. A software application that extracts and transforms data.

Answer: A

NEW QUESTION # 24
Which benefits does SAP Business Data Cloud provide for ensuring data transparency?
There are 2 correct answers to this question.
Response:

• A. Role-based visualizations
• B. Version history of data artifacts
• C. Manual SQL scripts only
• D. Data Lineage

Answer: B,D

NEW QUESTION # 25
What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

• A. Charts
• B. Conditional formatting
• C. Linked dimensions
• D. Input controls
• E. Calculated measures

Answer: B,D,E

Explanation:
The SAP Analytics Cloud Data Analyzer is designed for ad-hoc data exploration and analysis, providing a focused environment for users to quickly derive insights. Among its key supported features are calculated measures, which allow users to create new metrics on the fly based on existing data, enabling deeper analysis without modifying the underlying model. Input controls are also supported, providing interactive filtering capabilities that allow users to dynamically adjust the data displayed based on specific criteria, enhancing the flexibility of their analysis. Furthermore, conditional formatting is a valuable feature that enables users to apply visual styling (e.g., colors, icons) to data points based on defined rules, making it easier to identify trends, outliers, or specific conditions at a glance. While charts and linked dimensions are integral to full stories, the Data Analyzer's strength lies in its immediate, flexible analytical capabilities for a single data source.

NEW QUESTION # 26
What are the types of datasets in SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:

• A. Public
• B. Live
• C. Embedded
• D. Import

Answer: A,C

NEW QUESTION # 27
Which programming language is used for scripting in an SAP Analytics Cloud story?

• A. Wrangling Expression Language
• B. JavaScript
• C. Python
• D. ABAP

Answer: B

Explanation:
JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.

NEW QUESTION # 28
An organization aims to enhance data collaboration between departments and external partners while maintaining control over data access. Which SAP Business Data Cloud components should they leverage?
There are 3 correct answers to this question.
Response:

• A. Public data repositories
• B. Email data sharing
• C. Data Marketplace
• D. Data Catalog
• E. Role-based access control

Answer: C,D,E

NEW QUESTION # 29
Which of the following options will duplicate data to SAP HANA cloud under SAP Datasphere, based on data from an external source object?
There are 3 correct answers to this question.
Response:

• A. Import a source as a remote table and schedule replication
• B. Use a replication flow to fill a local table
• C. Use a data flow to fill a target table
• D. Import a source as a remote table without taking any further action
• E. Create a graphical view based on a remote table for that source object and persist the view data

Answer: A,B,C

NEW QUESTION # 30
How can you create a local table with a custom name in SAP Datasphere? Note: There are 2 correct answers to this question.

• A. By creating a persistent snapshot of a view
• B. By adding an output of a data flow
• C. By creating an intelligent lookup
• D. By importing a CSV file

Answer: B,D

Explanation:
In SAP Datasphere, there are several ways to create a local table with a custom name, providing flexibility for data management. Two common methods are by importing a CSV file and by adding an output of a data flow. When you import a CSV file, Datasphere allows you to specify a custom name for the new local table that will store the imported data. This is a quick and straightforward way to bring external, flat-file data into Datasphere. Secondly, a data flow in Datasphere allows you to define a sequence of operations (e.g., transformations, aggregations) and write the processed data to a target. When configuring the output of a data flow, you can specify a new local table and provide it with a custom name. This method is ideal for creating structured tables as a result of complex data integration or transformation processes. These options ensure that users can create and name tables according to their specific data modeling and organizational requirements.

NEW QUESTION # 31
The Data Access Language option determines the preferred language for which areas of SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:

• A. Live Data
• B. Help
• C. Imported Data
• D. Text

Answer: A,D

NEW QUESTION # 32
What is the purpose of SAP Datasphere in the context of SAP Business Data Cloud?
Please choose the correct answer.
Response:

• A. To extract data from the SAP source systems
• B. To add semantically rich models to prepare data for analysis
• C. To transfer data to SAP Databricks for machine learning processing
• D. To store data to create a data warehouse

Answer: B

NEW QUESTION # 33
Which components support semantic enrichment of data in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

• A. Data Monitor
• B. Data Marketplace
• C. Calculated Measures
• D. Business Builder

Answer: C,D

NEW QUESTION # 34
What are the working modes of a story?
There are 3 correct answers to this question.
Response:

• A. Story
• B. View
• C. Presentation
• D. Data
• E. Edit

Answer: B,C,E

NEW QUESTION # 35
When you are scheduling, to how many non-SAP Analytics Cloud recipients can you distribute?
Please choose the correct answer.
Response:

• A. 0
• B. 1
• C. 2
• D. 3

Answer: A

NEW QUESTION # 36
What is the main storage type of the object store in SAP Business Data Cloud?

• A. SAP HANA extended tables
• B. SAP BW/4HANA InfoObjects
• C. SAP BW/4HANA DataStore objects (advanced)
• D. SAP HANA data lake files

Answer: D

Explanation:
The primary storage type for the object store within the SAP Business Data Cloud (BDC) architecture is SAP HANA data lake files. SAP BDC is designed to handle vast amounts of diverse data, including semi-structured and unstructured data, which is efficiently stored in a data lake. The SAP HANA data lake, specifically its file storage component, provides a highly scalable and cost-effective solution for retaining raw, historical, and detailed data. This contrasts with traditional relational databases (like SAP HANA extended tables) or data warehousing constructs (like BW/4HANA DataStore objects or InfoObjects), which are optimized for structured, aggregated data and specific query patterns. The object store's reliance on data lake files in BDC underscores its capability to manage enterprise-wide data regardless of its structure, making it suitable for a wide range of analytical workloads, including those involving machine learning and advanced analytics where raw data access is crucial.

NEW QUESTION # 37
What is the first action Allen (Business Analyst) takes when Natalie (Chief Finance Officer) reaches out to him for insights on working capital?
Please choose the correct answer.
Response:

• A. He shares the Data Product with SAP Databricks.
• B. He explores the available Intelligent Application in SAP Business Data Cloud Catalog.
• C. He reviews the details and installs the Intelligent Application.
• D. He develops a custom ML model.

Answer: B

NEW QUESTION # 38
Which of the following is true about data access control in SAP Business Data Cloud?
Please choose the correct answer.
Response:

• A. There is no support for data-level authorization
• B. Access can be assigned only at the workspace level
• C. Access is managed using roles and policies
• D. All users have full read-write access by default

Answer: C

NEW QUESTION # 39
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