Blog

Dan Wells Dan Wells

0 Course Enrolled • 0 Course Completed

Biography

C_SAC_2421 Latest Cram Materials, C_SAC_2421 Pass Test

BONUS!!! Download part of VerifiedDumps C_SAC_2421 dumps for free: https://drive.google.com/open?id=1JflcisTYFN94MNQpgK3de9yPRoS5GlXI

At the VerifiedDumps, we guarantee that our customers will receive the best possible C_SAC_2421 study material to pass the SAP C_SAC_2421 certification exam with confidence. Joining this site for the SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C_SAC_2421) exam preparation would be the greatest solution to the problem of outdated material. The C_SAC_2421 would assist applicants in preparing for the SAP C_SAC_2421 exam successfully in one go C_SAC_2421 would provide C_SAC_2421 candidates with accurate and real C_SAC_2421 Dumps which are necessary to clear the SAP C_SAC_2421 test quickly.

SAP C_SAC_2421 Exam Syllabus Topics:

Topic
Details

Topic 1

Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.

Topic 2

Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.

Topic 3

Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.

Topic 4

Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.

Topic 5

Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.

>> C_SAC_2421 Latest Cram Materials <<

C_SAC_2421 Pass Test - Valid C_SAC_2421 Test Book

Our C_SAC_2421 guide torrent specially proposed different versions to allow you to learn not only on paper, but also to use mobile phones to learn. This greatly improves the students' availability of fragmented time. You can choose the version of C_SAC_2421 learning materials according to your interests and habits. And if you buy the value pack, you have all of the three versions, the price is quite preferential and you can enjoy all of the study experiences. This means you can study C_SAC_2421 Exam Engine anytime and anyplace for the convenience to help you pass the C_SAC_2421 exam.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q32-Q37):

NEW QUESTION # 32
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

A. Create a group that includes the dimensions.
B. Create a parent-child hierarchy in the dataset.
C. Convert the embedded dataset to a model.
D. Create a level-based hierarchy in the dataset.

Answer: D

Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

NEW QUESTION # 33
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

A. Many story filters
B. Large calculation scope
C. Many data sources
D. Complex formatting
E. Many hyperlinks

Answer: A,C,D

NEW QUESTION # 34
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

A. Freeze Up to row
B. Freeze Up to column
C. Enable Keeping member names visible
D. Enable Auto-Size And Page Table Vertically

Answer: A,B

NEW QUESTION # 35
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

A. Use two hierarchies
B. Dis-able distribution
C. Use two properties
D. Dis-able allocations

Answer: A

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning

NEW QUESTION # 36
Which SAP Analytics Cloud feature uses natural language processing?

A. Smart insight
B. Data analyzer
C. Just Ask feature
D. Digital boardroom

Answer: A

NEW QUESTION # 37
......

Tracking and reporting features of this C_SAC_2421 practice test enables you to assess and enhance your progress. The third format of VerifiedDumps product is the desktop SAP C_SAC_2421 practice exam software. It is an ideal format for those users who don’t have access to the internet all the time. After installing the software on Windows computers, one will not require the internet. The desktop C_SAC_2421 Practice Test software specifies the web-based version.

C_SAC_2421 Pass Test: https://www.verifieddumps.com/C_SAC_2421-valid-exam-braindumps.html

P.S. Free & New C_SAC_2421 dumps are available on Google Drive shared by VerifiedDumps: https://drive.google.com/open?id=1JflcisTYFN94MNQpgK3de9yPRoS5GlXI

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Dan Wells Dan Wells

Biography

COOKIE NOTICE