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Salesforce Analytics-DA-201 Exam Syllabus Topics:
Topic
Details
Topic 1
- ABAP SQL and Code Pushdown: This section of the exam measures the competencies of the SAP ABAP Cloud Developer related to performance optimization through ABAP SQL and code pushdown techniques. It ensures that the developer understands how to shift logic to the database layer using efficient SQL scripting to enhance performance in data-intensive applications.
Topic 2
- SAP Clean Core Extensibility and ABAP Cloud: This part of the exam targets the SAP S
- 4HANA Technical Consultant and covers concepts of clean core extensibility using ABAP in the cloud. The focus is on in-app and side-by-side extensibility techniques, ensuring that custom code complies with cloud-readiness principles and does not compromise the upgrade stability of core systems.
Topic 3
- ABAP RESTful Application Programming Model: This section of the exam evaluates the capabilities of the SAP S
- 4HANA Technical Consultant in using the ABAP RESTful Application Programming Model (RAP). It focuses on understanding the structure and components of RAP, including behavior definitions, service bindings, and metadata extension. The goal is to validate the ability to develop modern and scalable applications using RAP.
Topic 4
- ABAP Core Data Services and Data Modeling: This section of the exam measures the skills of the SAP ABAP Cloud Developer and covers the fundamental understanding of core data services (CDS) and how to design data models in the SAP ABAP environment. Candidates are expected to know how to define, consume, and optimize CDS views effectively to support application development in the cloud.
Topic 5
- Core ABAP Programming: This part of the exam assesses the foundational programming skills of the SAP S
- 4HANA Technical Consultant. It includes knowledge of syntax, control structures, modularization, and internal tables in ABAP. The section aims to validate the candidate’s proficiency in writing clean, efficient ABAP code using best practices.
Salesforce Certified Tableau Data Analyst Sample Questions (Q165-Q170):
NEW QUESTION # 165
A Data Analyst needs to calculate the first Tuesday of each month in the data.
Which set of functions should the analyst use to perform this calculation?
- A. DATETRUNC, DATEADD
- B. DATEADD, DATENAME
- C. DATETRUNC, DATEPART
- D. DATEDIFF, DATEPART
Answer: C
NEW QUESTION # 166
You have the following dataset.
Which formula calculates the percent difference in sales relative to the same quarter the previous year as shown in the Calculation field?
- A. (SUM ([Sales]) - LOOKUP (SUM ([Sales]), -4) ) / (LOOKUP (SUM ([Sales]), -4) )
- B. (ZN (SUM ([Sales]) ) - LOOKUP (ZN (SUM ([Sales]) ), -4) )
- C. (SUM ([Sales]) - LOOKUP (SUM ( [Sales]), -4))
- D. (SUM([Sales]) / (LOOKUP (SUM ([Sales]), -4))
Answer: A
Explanation:
The formula in option B calculates the percent difference in sales relative to the same quarter the previous year. It subtracts the sales of the same quarter from the previous year from the current year's sales, and then divides this by the previous year's sales. This gives a percentage change, which aligns with what is shown in the Calculation field of your dataset. The LOOKUP function returns the value of a specified offset from the current row in the partition. In this case, the offset is -4, which means the value of the same measure four rows above the current row. This corresponds to the same quarter of the previous year, assuming the data is sorted by quarter. References:
* LOOKUP Function - Tableau
* Table Calculations - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 167
You have the following dataset.
Which formula calculates the percent difference in sales relative to the same quarter the previous year as shown in the Calculation field?
- A. (SUM ([Sales]) - LOOKUP (SUM ([Sales]), -4) ) / (LOOKUP (SUM ([Sales]), -4) )
- B. (ZN (SUM ([Sales]) ) - LOOKUP (ZN (SUM ([Sales]) ), -4) )
- C. (SUM ([Sales]) - LOOKUP (SUM ( [Sales]), -4))
- D. (SUM([Sales]) / (LOOKUP (SUM ([Sales]), -4))
Answer: A
Explanation:
The formula in option B calculates the percent difference in sales relative to the same quarter the previous year. It subtracts the sales of the same quarter from the previous year from the current year's sales, and then divides this by the previous year's sales. This gives a percentage change, which aligns with what is shown in the Calculation field of your dataset. The LOOKUP function returns the value of a specified offset from the current row in the partition. In this case, the offset is -4, which means the value of the same measure four rows above the current row. This corresponds to the same quarter of the previous year, assuming the data is sorted by quarter. References:
* LOOKUP Function - Tableau
* Table Calculations - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 168
You have the Mowing dashboard.
Which two elements are floating? Choose two.
- A. The Rate of Obesity chart
- B. The color legend
- C. The map
- D. The state filter
- E. The little
Answer: A,D
Explanation:
In Tableau dashboards, floating elements are those that can be freely moved over the dashboard canvas without being snapped into the tiled layout. The floating elements are often indicated by their standalone frames and the ability to overlap with other dashboard items. From the provided image, the state filter and the Rate of Obesity chart can be identified as floating if they can be moved independently of the tiled grid layout that constrains other elements.
NEW QUESTION # 169
You have the following:
Overall Rank and Rank are calculated fields that use the RANK function.
You filter out the sub-category where [Ovorall Rank] - 1.
For which three the sub-categories will the value of Rank change? Choose three.
- A. Chairs
- B. Accessories
- C. Bookcases
- D. Tables
- E. Copiers
- F. Machines
G Phones - G. Furnishings
Answer: B,D,F
Explanation:
In Tableau, the RANK function assigns a rank to each row within a partition of the data, based on the value of the field being ranked. It is important to understand that the rank is recalculated whenever the underlying data or the partitioning changes.
In the given scenario, the Overall Rank is based on the Sales figures, while the Rank (presumably) is based on the Sales within the Category. When filtering on the condition where [Overall Rank] - 1, it means we are excluding the sub-category that has an Overall Rank of 2.
Looking at the data:
* Furnishings has an Overall Rank of 8, which does not meet the filter condition ([Overall Rank] - 1).
Therefore, its rank remains the same.
* Tables have an Overall Rank of 3. When the sub-category with an Overall Rank of 2 is removed (Chairs in this case), Tables move up in the overall ranking. However, since Tables are the top-ranked within the Furniture category, their Rank within the category would remain unchanged at 1.
* Chairs have an Overall Rank of 2, which meets the filter condition and thus will be removed from the view. We cannot determine the change in Rank for Chairs because they are filtered out.
* Accessories have an Overall Rank of 5. If any sub-category with a higher Overall Rank (1 to 4) is removed, the rank of Accessories within the Technology category could change because it is currently ranked 3 in its category. With the removal of Phones (Overall Rank 1), the Rank of Accessories could potentially increase.
* Copiers have an Overall Rank of 6, which does not meet the filter condition. Therefore, its rank remains the same.
* Machines have an Overall Rank of 4. If we remove Phones (Overall Rank 1), Machines will move up in the overall ranking and potentially within the Technology category as well, changing its Rank from 2 to 1.
* Phones have an Overall Rank of 1, which does not meet the filter condition of being Overall Rank 2.
Therefore, its rank remains the same.
* Bookcases have an Overall Rank of 7, which does not meet the filter condition. Therefore, its rank remains the same.
Based on this analysis, when the sub-category with an Overall Rank of 2 (Chairs) is removed, the Rank value will change for Tables, Accessories, and Machines, as they will move up in the overall ranking within their respective categories. However, it's important to note that while Tables will move up in the overall ranking, their rank within the Furniture category would not change as they are already at the top. The rank changes for Accessories and Machines are due to the removal of Phones, which is ranked higher overall and within the Technology category.
NEW QUESTION # 170
......
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