Practice Free A00-223 Exam Online Questions
You are required to combine data from two different tables in SAS Data Integration Studio, based on common fields.
Which node would you use to accomplish this task?
- A . Filter node
- B . Join node
- C . Extract node
- D . Sort node
Which feature allows you to enrich data by adding categorical elements, such as geolocation or industry code, in DataFlux Data Management Studio?
- A . Data Job
- B . Data Enrichment
- C . Data Profiling
- D . Data Exploration
Which of the following file formats can be used as a data source in SAS Data Integration Studio?
- A . CSV
- B . XML
- C . Excel
- D . All of the above
Which file format is primarily used to store QKB definition files?
- A . CSV
- B . XML
- C . JSON
- D . sas7bdat
Which of the following is a machine learning technique used for big data analytics?
- A . Random Forest
- B . Linear Regression
- C . Chi-Square Test
- D . T-Test
A user is looking at the Basic Properties pan, as shown below.
The Number of Rows attribute shows Row count is disabled.
Why is the row count disabled?
- A . The "Enable row count on basic properties and data viewer for tables" global option is not set.
- B . No physical dataset exists for the Customer table metadata object.
- C . The table’s "Enable row count on basic properties and data viewer for tables" option is not set.
- D . The user does not have read permissions on the folder where the physical dataset is stored.
Which of the following is a technique used for real-time data processing in big data systems?
- A . Stream processing
- B . Batch processing
- C . Data warehousing
- D . Data mining
Which component in SAS Data Integration Studio is used to design and build data integration processes?
- A . Job Editor
- B . Metadata Manager
- C . Data Viewer
- D . Query Builder
How can you schedule the execution of a job in SAS Data Integration Studio?
- A . By using the Schedule Manager in the Metadata Manager.
- B . By using the Run Options in the Job Editor.
- C . By using the Execute button in the Data Viewer.
- D . By using the Export job option in the Repository Manager.
What is the purpose of data preprocessing in big data analytics?
- A . To clean and transform raw data into a suitable format for analysis.
- B . To reduce the size of the data to make it easier to process.
- C . To apply machine learning algorithms to the data.
- D . To store the data in a distributed file system.