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cleanFiles/DS10_10_en-US_learning-sap-com_lsc-prod.zip (MMCP-DROPZONE) - 2023-10-31T12:02:35.000Z

Introducing SAP Data Services solution

Describing the object model

Explaining SAP Data Services

Question 1

Question 2

Connecting to databases or applications using Datastores

Accessing files using Flat File Formats

Accessing data

Creating Batch Jobs

Creating Data Flows

Documenting Jobs

Developing jobs and data flows

Determine whether this statement is true or false.

Question 3

Question 4

Question 5

Question 6

Validating Jobs

Testing Jobs

Debugging Data Flows

Troubleshooting batch jobs

Computing data using built-in functions

Designing independent reusable objects with variables and parameters

Initializing variables using scripts

Reusing logic with a custom function

Using jobs in different system configurations

Using functions, scripts, and variables

Building new data sets with the Query transform

Choosing between lookup function and join operation

Using the SQL Transform

Querying data with Platform transforms

Splitting data with the Case transform

Splitting data with the Validation Transform

Combining data with the Merge transform

Splitting and combining data with Platform transforms

Auditing dataflows

Setting up error handling

Using automatic recovery mode

Handling errors and recovering from failure

Bringing changes to the target table

Using Source-Based Changed Data Capture (CDC)

Using Target-Based Changed Data Capture (CDC)

Updating data

Describing SAP Data Services Integrator transforms

Converting columns to rows using the Pivot transform

Designing advanced ETL scenarios using SAP Data Services Integrator transforms

Optimizing data flows using the Data Transfer transform

Setting options to improve performance

Optimizing Performance