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NEW QUESTION: 1
The following SAS program is submitted:
data work.total;
set work.salary(keep = department wagerate);
by department;
if first.department then payroll = 0;
payroll + wagerate;
if last.department;
run;
The SAS data set named WORK.SALARY contains 10 observations for each department, currently ordered by DEPARTMENT.
Which one of the following is true regarding the program above?
A. FIRST.DEPARTMENT and LAST.DEPARTMENT are variables in the WORK.TOTAL data set.
B. The values of the variable PAYROLL represent a total for all values of WAGERATE in the WORK.SALARY data set.
C. The BY statement in the DATA step causes a syntax error.
D. The values of the variable PAYROLL represent the total for each department in the
WORK.SALARY data set.
Answer: D
NEW QUESTION: 2
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:
A. Leverage big object to archive case data and lightning components to show archived data.
B. Export data out of salesforce and store in Flat files on external system.
C. Leverage on premise data archival and build integration to view archived data.
D. Create a custom object to store case history and run reports on it.
Answer: A,C
NEW QUESTION: 3
You need to build a knowledge base in Data Quality Services (DQS).
You need to ensure that the data is validated by using a third-party data source before DQS processes the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Building a DQS knowledge base involves the following processes and components:
Step 1: Perform Knowledge Discovery
A computer-assisted process that builds knowledge into a knowledge base by processing a data sample Step 2: Perform Domain Management An interactive process that enables the data steward to verify and modify the knowledge that is in knowledge base domains, each of which is associated with a data field. This can include setting field-wide properties, creating rules, changing specific values, using reference data services, or setting up term-based or cross-field relationships.
Step 3: Configure reference Data Services
A process of domain management that enables you to validate your data against data maintained and guaranteed by a reference data provider.
Step 4: Configure a Matching Policy
A policy that defines how DQS processes records to identify potential duplicates and non-matches, built into the knowledge base in a computer-assisted and interactive process.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/dqs-knowledge-bases-and-domains