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NEW QUESTION: 1
Sie haben eine Tabelle, die eine Spalte mit dem Namen Abteilung enthält. Jeder Benutzer wird einem Datenbankrollennamen zugewiesen, der dem Spaltenwert der Abteilung entspricht. Benutzer authentifizieren sich bei der Datenbank mit Konten, die der Datenbankrolle ihrer Abteilung zugewiesen sind. Sie gehören zur Rolle db_owner und haben die Berechtigung, die Anweisung EXECUTE AS USER auszuführen.
Benutzer dürfen nur Datensätze anzeigen, die ihrer Abteilung entsprechen.
Sie müssen Microsoft SQL Server-Sicherheit auf Zeilenebene (RLS) implementieren und die Implementierung testen.
Welche drei Aktionen sollten Sie nacheinander ausführen? Um zu antworten, verschieben Sie die entsprechenden Aktionen aus der Liste der Aktionen in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Answer:
Explanation:

Explanation

Step 1: Create a filter predicate by using a SQL Server inline table-valued user-defined function.
Create a new schema, and an inline table-valued function.
Step 2: Create a security policy
Create a security policy adding the function as a filter predicate.
The CREATE SECURITY POLICY command creates a security policy for row level security.
Step 3: Run EXECUTE AS USER
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-security-policy-transact-sql?view=sql-server-2017
https://docs.microsoft.com/en-us/sql/relational-databases/security/row-level-security

NEW QUESTION: 2

A. Option B
B. Option C
C. Option A
D. Option F
E. Option D
F. Option E
Answer: B,E,F
Explanation:
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NEW QUESTION: 3
A user is authenticating to the Infranet Controller with username "fin-jdoe" in a realm with
"Merge settings for all assigned roles" selected.
Which two role mapping rulesets will result in that user being eligible for both the Employee and Finance roles? (Choose two.)
A. username="fin-*" -> Finance
username="*" -> Employee Stop
B. username="*" -> Employee Stop
username="fin-*" -> Finance
C. username="*" -> Employee
username="fin-*" -> Finance Stop
D. username="fin-*" -> Finance Stop
username="*" -> Employee
Answer: A,C

NEW QUESTION: 4
Examine the following anonymous PL/SQL code block of code:

Which two are true concerning the use of this code?
A. The user executing the anonymous PL/SQL code requires execute privilege on the DBMS_JOB package.
B. ALTER SESSION ENABLE PARALLEL DML must be executed in the session prior to executing the anonymous PL/SQL code.
C. Each chunk will be committed independently as soon as the task updating that chunk is finished.
D. All chunks are committed together once all tasks updating all chunks are finished.
E. The user executing the anonymous PL/SQL code requires privilege on the DBMS_SCHEDULER package.
F. The user executing the anonymous PL/SQL code must have the CREATE JOB system privilege.
Answer: E,F
Explanation:
A (not D, not E):
To use DBMS_PARALLEL_EXECUTE to run tasks in parallel, your schema will need the
CREATE JOB system privilege.
E (not C): DBMS_PARALLEL_EXECUTE now provides the ability to break up a large table
according to a variety of criteria, from ROWID ranges to key values and user-defined
methods. You can then run a SQL statement or a PL/SQL block against these different
"chunks" of the table in parallel, using the database scheduler to manage the processes
running in the background. Error logging, automatic retries, and commits are integrated into
the processing of these chunks.
Note:
*The DBMS_PARALLEL_EXECUTE package allows a workload associated with a base table to be broken down into smaller chunks which can be run in parallel. This process
involves several distinct stages. 1.Create a task 2.Split the workload into chunks CREATE_CHUNKS_BY_ROWID CREATE_CHUNKS_BY_NUMBER_COL CREATE_CHUNKS_BY_SQL 3.Run the task RUN_TASK User-defined framework Task control 4.Check the task status 5.Drop the task
*The workload is associated with a base table, which can be split into subsets or chunks of rows. There are three methods of splitting the workload into chunks.
CREATE_CHUNKS_BY_ROWID CREATE_CHUNKS_BY_NUMBER_COL CREATE_CHUNKS_BY_SQL The chunks associated with a task can be dropped using the DROP_CHUNKS procedure.
*CREATE_CHUNKS_BY_ROWID The CREATE_CHUNKS_BY_ROWID procedure splits the data by rowid into chunks specified by the CHUNK_SIZE parameter. If the BY_ROW parameter is set to TRUE, the CHUNK_SIZE refers to the number of rows, otherwise it refers to the number of blocks.
Reference: TECHNOLOGY: PL/SQL Practices, On Working in Parallel