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NEW QUESTION: 1
다음 중 정확히 사용 된 경우 거의 깨지지 않는 것으로 입증 된 암호화 방법은 무엇입니까?
A. 인증서
B. 1 회용 패드
C. 키 쌍
D. 3-DES
E. 선택 사항이 없습니다.
F. 오클리
Answer: B
Explanation:
설명:
암호로 전송되는 메시지를 보호 할 수 있습니다. 일회용 패드의 한 가지 암호화 방법은 올바르게 사용될 때 깨지기 힘든 것으로 입증되었습니다. 이 방법은 단일 메시지를 인코딩하고 디코딩하기 위해 단 한 번만 사용되는 안전한 키 코드 쌍을 사용합니다. 이 방법은 안전하게 사용하기가 어렵고 또한 매우 불편합니다.

NEW QUESTION: 2
Bei der Überprüfung eines Projekts, bei dem mehrere manuelle Dateneingabesysteme durch ein künstliches Intelligenzsystem (Al) ersetzt werden sollen, sollte der IS-Prüfer am meisten über die Auswirkungen besorgt sein, die At auf Folgendes haben wird:
A. Unternehmensarchitektur (EA).
B. zukünftige Aufgabenaktualisierungen
C. Ausgabe der Aufgabenkapazität
D. Mitarbeiterbindung
Answer: A

NEW QUESTION: 3
DRAG DROP
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need

to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.

Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition

structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date

tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.

Maximize the performance during the data loading process for the Fact.Order partition.

Ensure that historical data remains online and available for querying.

Reduce ongoing storage costs while maintaining query performance for current data.

You are not permitted to make changes to the client applications.
You need to implement partitioning for the Fact.Ticket table.
Which three actions should you perform in sequence? To answer, drag the appropriate actions to the correct locations. Each action may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: More than one combination of answer choices is correct. You will receive credit for any of the correct combinations you select.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Explanation:
From scenario: - Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
The detailed steps for the recurring partition maintenance tasks are:
SWITCH OUT: Create a staging table and then switch a partition between the history table and the

staging table using the ALTER TABLE (Transact-SQL) statement with the SWITCH PARTITION argument
MERGE RANGE: Merge the empty partition 1 with partition 2 using the ALTER PARTITION

FUNCTION (Transact-SQL) with MERGE RANGE
SPLIT RANGE: Create a new empty partition using the ALTER PARTITION FUNCTION (Transact-

SQL) with SPLIT RANGE.
References: https://docs.microsoft.com/en-us/sql/relational-databases/tables/manage-retention-of- historical-data-in-system-versioned-temporal-tables

NEW QUESTION: 4
A Solutions Architect is designing a process that updates data in a database when any EC2 instance is launched, stopped, or terminated. This update must be performed as close to the EC2 change as possible. The Solutions Architect will use a CloudWatch Event Rule based on EC2 state changes.
Which solution should the Solutions Architect use to achieve this in the MOST cost-effective way?
A. Use an Amazon SQS queue Have a scheduled Lambda function read the queue and update the database.
B. Create a Lambda function triggered by Amazon CloudWatch Events to directly update the database
C. Create an Amazon Kinesis Data Stream Launch a Kinesis Data Stream worker to update the database
D. Use an Amazon SQS queue Provision an EC2 instance to poll the queue and update the database
Answer: B