[Jul-2023] SAP C_DS_42 Exam Practice Test Questions - ActualCollection
Updated Certification Exam C_DS_42 Dumps - Practice Test Questions
SAP C-DS-42 certification exam is a valuable credential for professionals who work with SAP Data Services 4.2. It demonstrates their proficiency in using this tool for data integration projects and can help them advance their careers in this field. Additionally, it validates their expertise in using SAP Data Services to ensure data quality and accuracy.
SAP C_DS_42 certification exam covers a range of topics related to data integration, including data quality, data profiling, data transformation, data loading, and data migration. C_DS_42 exam is intended to test the candidate’s proficiency in various areas of SAP Data Services, such as job design, data flows, data stores, data mapping, and data validation. SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 certification exam validates the candidate’s ability to configure and maintain SAP Data Services components and perform basic troubleshooting tasks in SAP Data Services. Passing the SAP C_DS_42 certification exam demonstrates that the candidate has the necessary skills and knowledge to effectively use SAP Data Services for data integration purposes.
NEW QUESTION # 42
You are instructed to calculate the maximum value in the SALARY column of an EMPLOYEE table.
How can you achieve this in SAP Data Services?
- A. Call max(SALARY) from a Custom function
- B. Enter max (SALARY) in the query transform
- C. Use max (SALARY) in a script.
- D. Use max(SALARY) in a conditional
Answer: B
NEW QUESTION # 43
How do you view the data between transforms in SAP Data Services dataflow?
- A. By using the interactive debugger
- B. By setting the Audit Data On job execution trace option
- C. By setting the SQL Transforms on job execution trace option
- D. By adding audit points in the dataflow
Answer: A
NEW QUESTION # 44
You SAP Data Services job desing includes an initialization script that truncates rows in the target prior to loading, the job uses automatic recovery How would you expect the system to behave when you run the job in recovery mode?
Note: There are 2 correct answers to this question
- A. The job executes the scripts if it is part of a workflow marked as a recovery unit, but only if an error was raised
- B. The job executes the scripts if it is part of a workflow marked as a recovery unit irrespective of where the error ocurred in the job flow.
- C. The job reruns all workflows and scripts. When using automatic recovery, only dataflows that ran successfully in the previous execution ^ are skipped.
- D. the job starts with the flow that caused the error. If this flow is after the initialization script the initialization script is skipped.
Answer: D
NEW QUESTION # 45
What are task's of data Services uses the SAP RFC Server Interface?
- A. Reading from SAP Open Hub destinations
- B. Loading SAP NetWeaver BW
- C. Scheduling SAP jobs
- D. None of above
- E. Viewing Data Services logs from SAP NetWeaver BW
Answer: A,B,C,E
NEW QUESTION # 46
You executed a job in development environment and it raised primary key violation error in SAP Data Services. Which feature do you enable to identify which primary key values caused the errors?
- A. Auto correct load
- B. Drop and re-created target table
- C. delete data before loading
- D. Use overflow file
Answer: D
NEW QUESTION # 47
What are SAP data services scripts used for? There are 2 correct answers to this question
- A. To write complex transformation logic using the flexibility of the scripting language.
- B. To perform job initialization tasks to print the job variable values into the trace log using the print() function.
- C. To set the desired properties, for example, trace options, monitor sample rate, and the use statistics for optimization flag.
- D. To execute single SQL commands using the sql() function to select a value from a status table for the variable.
Answer: A,D
NEW QUESTION # 48
What are characteristics of SAP Data Services workflows?
- A. A workflow can contain a conditional object.
- B. A workflow can call other workflows.
- C. A workflow must contain a dataflow.
- D. A job needs to have at least one workflow.
Answer: A,B
NEW QUESTION # 49
By which application you do Evaluate the reliability of your target data based on the validation rules you created in your batch jobs. Quickly review, assess, and identify potential inconsistencies or errors in source data?
- A. Impact and Lineage Analysis
- B. Auto Documentation
- C. Data Validation Dashboard
- D. Data Quality Reports
- E. Administrator
- F. Operational Dashboard
Answer: C
NEW QUESTION # 50
Which features are supported by the SAP Data Services interactive debugger?
3 correct answers
- A. Show sample rows of each step
- B. Show the optimized execution plan
- C. Set breakpoint
- D. Show performance-related statistics
- E. Define additional filters
Answer: A,C,E
NEW QUESTION # 51
You are designing an SAP Data Services process.
This process must execute ONLY if a defined expression is true.
Which object allows you to accomplish this task?
- A. Validation transform
- B. Case transform
- C. Try/catch block
- D. Conditional
Answer: D
NEW QUESTION # 52
You have a workflow containing two dataflows. The second dataflow should only run if the first one finished successfully.
How would you achieve this in SAP Data Services.
- A. Use a conditional for the second dataflow
- B. Connect the two dataflows with line
- C. Add a script between the dataflows using the error_number() function
- D. Embed the first dataflow in a try-catch
Answer: B
NEW QUESTION # 53
An SAP Data Services dataflow adds the changed data (insert and update) into a target table every day.
How do you design the dataflow to ensure that a partially executed dataflow recovers automatically the next time it is executed?
2 correct answers
- A. Enable the Delete data before load target table loader option
- B. Add lookup function in the where clause to filter out existing rows.
- C. Set the autocorrect load option in the target table loader option
- D. Use the table comparison transform before the table loader
Answer: B,D
NEW QUESTION # 54
You must calculate the total value of all orders, including their discounts, for reporting purposes. Currently these details are found in different tables.
Use the sum function to calculate the total value of orders in the Order_Details table.
How to in the Query transform, create a new output column
TOTAL_VALUE , which will hold the new calculation.
- A. In the output schema, right click ORDERID and choose New output column.
- B. Choose the Where tab or the From tab.
- C. To map the ORDERID column from the input schema to the same field in the output schema, select ORDERID and drag to the output schema
- D. Choose Insert Below.
Answer: A,C,D
NEW QUESTION # 55
You want to set up a new SAP Data Services landscape. You must also create new repositories. Which repository types can you create?
- A. Local repository
- B. Central repository
- C. Backup repository
- D. Standy repository
- E. Profiler repository
Answer: E
NEW QUESTION # 56
In the Alpha Acquisitions database, the country for a customer is stored in a separate table and referenced with a code. To speed up access to information in the data warehouse, this lookup should be eliminated.
Use the lookup_ext function to exchange the ID for the country name in the customers table for Alpha with the actual value from the country table.
How to Execute the Alpha_NACustomer_Job with the default execution properties after saving all objects you have created.
- A. Right click the target table and choose View Data.
- B. In the Mapping tab, choose Functions.
- C. To use the default execution properties, choose OK.
- D. To return to the job workspace, on the toolbar, choose the Back icon.
- E. To open the data flow workspace, double click the data flow.
Answer: A,C,D,E
NEW QUESTION # 57
What do you call for that particular link of Clicking to return to the Management Console home page where you can select another application, for example?
- A. Settings
- B. Question mark icon
- C. Home
- D. Logout
Answer: C
NEW QUESTION # 58
During development of a SAP Data Services dataflow, you find that the source system contains data inconsistencies.
What transform allows you to define rules and monitor the conformance of the data for every load?
- A. Case transform
- B. Query transform
- C. SQL transform
- D. Validation transform
Answer: D
NEW QUESTION # 59
The SAP Data services merge transform is used to combine two datasets; the first has 3000 rows and the second has 2000 rows. What are characteristics of the Merge transform? Note: there are 2 correct answers to this question
- A. The merge transform require both dataset to have the same structure.
- B. The merge transform combines the dataset into 5000 output rows
- C. The merge transform joins the datasets using a full outer join
- D. The merge transform combines the dataset into 5000 or less output rows.
Answer: A
NEW QUESTION # 60
A SAP Data Services job contain logic to execute different dataflows depending on whether the job was successful or failed. Therefore the $NEEDS_RECOVERY variable should be set to either 'Yes' or 'No'. How do you assign the value to the $NEEDS_RECOVERY variable?
- A. Use a script with an SQL function to read from status table
- B. Use a dataflow to set the value via a template table
- C. Use a catch block and set the variable to 'yes1
- D. Use a global variable to persist the value accros job executions
Answer: C
NEW QUESTION # 61
The value of the DEPT ID is null
What is the output of this SAP Data Services function?
- A. null
- B. ?
- C. CA
- D. IS
Answer: B
NEW QUESTION # 62
Which syntax rules must you follow in the SAP
Data Services scripting language?
- A. A statement ends with a dot sign (.).
- B. A comment starts with a hash (#).
- C. A variable starts with a percent sign (%).
- D. A variable starts with a dollar sign ($).
Answer: B,D
NEW QUESTION # 63
You decide to distribute the execution of a job across multiple job servers within a server group. What distribution levels are available? 3 answers correct
- A. subdataflow
- B. Dataflow
- C. Embedded dataflow
- D. workflow
- E. JOB
Answer: A,B,E
Explanation:
Select the level within a job that you want to distribute to multiple Job Servers for processing:
Job: The whole job will execute on an available Job Server.
Data flow: Each data flow within the job can execute on an available Job Server.
Sub data flow: Each sub data flow (can be a separate transform or function) within a data flow can execute on an available Job Server.
For more information, see "Using grid computing to distribute data flows execution" in the Performance Optimization Guide.
NEW QUESTION # 64
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