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NEW QUESTION: 1
エントリーレベルの内部監査人の主な関与責任は次のうちどれですか？
A. レポート。
B. リーダーシップ。
C. ドキュメント。
D. 分析。
Answer: D

NEW QUESTION: 2



A. No
B. Yes
Answer: B
Explanation:
Explanation
We create a login, create a user associated with this login, and grant execute permission to the procedure to this user. This is enough. The user does not need further permissions.
Note:
One method of creating multiple lines of defense around your database is to implement all data access using stored procedures or user-defined functions. You revoke or deny all permissions to underlying objects, such as tables, and grant EXECUTE permissions on stored procedures. This effectively creates a security perimeter around your data and database objects.
Best Practices
Simply writing stored procedures isn't enough to adequately secure your application. You should also consider the following potential security holes.
Grant EXECUTE permissions on the stored procedures for database roles you want to be able to access the data.
Revoke or deny all permissions to the underlying tables for all roles and users in the database, including the public role. All users inherit permissions from public. Therefore denying permissions to public means that only owners and sysadmin members have access; all other users will be unable to inherit permissions from membership in other roles.
Do not add users or roles to the sysadmin or db_owner roles. System administrators and database owners can access all database objects.
References:
https://docs.microsoft.com/en-us/dotnet/framework/data/adonet/sql/managing-permissions-with-stored-procedure

NEW QUESTION: 3

A. Option A
B. Option B
C. Option C
D. Option D
Answer: D

NEW QUESTION: 4
Data mining is a process of sorting through data to identify patterns and establish relationships. Which of the following data mining parameters looks for patterns where one event is connected to another event?
A. Clustering
B. Forecasting
C. Association
D. Sequence or path analysis
Answer: C
Explanation:
Data mining is a process of sorting through data to identify patterns and establish relationships. Following are the data mining parameters: Association: Looking for patterns where one event is connected to another event. Sequence or path analysis: Looking for patterns where one event leads to another later event. Classification: Looking for new patterns (may result in a change in the way the data is organized but is acceptable). Clustering: Finding and visually documenting groups of facts not previously known. Forecasting: Discovering patterns in data that can lead to reasonable predictions about the future (This area of data mining is known as predictive analytics).