최신 Data-Integration-Developer 무료덤프 - Talend Data Integration Certified Developer

A. leverage data lakes to manage complex and massive volumes of structured and unstructured data.

B. Manually collect the data from various source interfaces,thenclean and combine the data into one warehouse.

C. Use a middleware application that acts as a mediator to normalize data and bring it into a master data pool.

D. Create a data warehouse to run queries, reports, and analyses to retrieve data in a consistent format.

A. leverage data lakes to manage complex and massive volumes of structured and unstructured data.

B. Manually collect the data from various source interfaces,thenclean and combine the data into one warehouse.

C. Use a middleware application that acts as a mediator to normalize data and bring it into a master data pool.

D. Create a data warehouse to run queries, reports, and analyses to retrieve data in a consistent format.

A. FileToDatabase.

B. JobletToFile

C. TahleToFile

D. TabletoTable

A. Extract the files from the archive and run the JAR file.

B. Extract the content of the archive and run the batch file or the shell script.

C. Extract the contents of the archive and run the batch file and shell script.

D. Install the Job and start the resulting service.

A. Code

B. Component view

C. Repository

D. Design workspace

A. Context chosen by the developer when running the Job. Context available in the Basic Run tab of Run Job section.

B. tContextLoad component can change the context name in the course of the Job execution.

C. tContextDump component ran change the context name in the course of the lob execution.

D. tRunJob component can influence the context in which the child Job runs.