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NEW QUESTION: 1
If the following SQL statements are executed:
CREATE TABLE tab1 (id SMALLINT NOT NULL PRIMARY KEY,
name VARCHAR(25));
CREATE TABLE tab2 (empid SMALLINT,
weekno SMALLINT,
payamt DECIMAL(6,2),
CONSTRAINT const1 FOREIGN KEY (empid)
REFERENCES taba(id) ON UPDATE NO ACTION);
Which of the following statements is true?
A. The updating of values in the ID column of table TAB1 is not allowed
B. Only values that exist in the ID column of table TAB1 are allowed to be inserted in the EMPID column of table TAB2
C. When values that exist in the ID column of table TAB1 are updated, corresponding values in the EMPID column of table TAB2 are updated as well
D. Only values that do not already exist in the ID column of table TAB1 are allowed to be inserted in the EMPID column of table TAB2
Answer: B

NEW QUESTION: 2
Which ONE model is used for planning the training the support that people need as they adapt to change?
A. The Concerns-Based Adoption Model.
B. The Change Control Process Model.
C. The Capability Maturity Model.
D. The Corporate Training Plan.
Answer: A

NEW QUESTION: 3
Which part of the PPPoE server configuration contains the information used to assign an IP address to a
PPPoE client?
A. virtual-template interface
B. dialer interface
C. DHCP
D. AAA authentication
Answer: A

NEW QUESTION: 4
HOTSPOT
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project. You add two new role-playing dimensions named Picker and Salesperson to the cube. Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for each of the dimensions.
NOTE: Make only one selection in each column.

Answer:
Explanation:

Explanation:

A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression.
A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models/define-named-queries-in-a-data-source-view-analysis-services