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NEW QUESTION: 1


Answer:
Explanation:

NEW QUESTION: 2
You execute the following PL/SQL:

Which two statements are true?
A. Fine-Grained Auditing (FGA) is enabled for the PRICE column in the PRODUCTS table for SELECT statements only
when a row with PRICE > 10000 is accessed.
B. FGA is enabled for the PRICE column of the PRODUCTS table and the SQL statements is captured in the FGA audit
trial.
C. FGA is enabled for the PRODUCTS.PRICE column and an audit record is written whenever a row with PRICE > 10000
is accessed.
D. FGA is enabled for all DML operations by JIM on the PRODUCTS.PRICE column.
Answer: A,C
Explanation:
DBMS_FGA.add_policy
* The DBMS_FGA package provides fine-grained security functions.
* ADD_POLICY Procedure
This procedure creates an audit policy using the supplied predicate as the audit condition.
Incorrect:
Not C: object_schema
The schema of the object to be audited. (If NULL, the current log-on user schema is assumed.)

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question
in the series contains a unique solution that might meet the stated goals. Some question sets
might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these
questions will not appear in the review screen.
You are designing an Azure SQL Database that will use elastic pools. You plan to store data about
customers in a table. Each record uses a value for CustomerID.
You need to recommend a strategy to partition data based on values in CustomerID.
Proposed Solution: Separate data into customer regions by using vertical partitioning.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Vertical partitioning is used for cross-database queries. Instead we should use Horizontal Partitioning,
which also is called charding.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-query-overview