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NEW QUESTION: 1
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: 2
When an EC2 instance that is backed by an S3-based AMI Is terminated, what happens to the data on me root volume?
A. Data is automatically saved as an E8S volume.
B. Data is unavailable until the instance is restarted.
C. Data is automatically saved as an ESS snapshot.
D. Data is automatically deleted.
Answer: B
Explanation:
Reference:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ComponentsAMIs.html

NEW QUESTION: 3
あなたの会社は、6か月の期間にわたって多くのEC2インスタンスを定義しています。セキュリティグループのいずれかがリソースへの無制限のアクセスを許可しているかどうかを知りたい。この要件を達成するための最良の選択肢は何ですか？
選んでください：
A. AWS CLIを使用してセキュリティグループをクエリし、アクセスが制限されていないルールをフィルタリングします
B. AWS Configを使用して、アクセスを侵害したセキュリティグループを確認します。
C. AWS Inspectorを使用して、すべてのセキュリティグループを検査します
D. AWS Trusted Advisorを使用して、アクセスが侵害されたセキュリティグループを確認します。
Answer: D
Explanation:
The AWS Trusted Advisor can check security groups for rules that allow unrestricted access to a resource. Unrestricted access increases opportunities for malicious activity (hacking, denial-of-service attacks, loss of data).
If you go to AWS Trusted Advisor, you can see the details

Option A is invalid because AWS Inspector is used to detect security vulnerabilities in instances and not for security groups.
Option C is invalid because this can be used to detect changes in security groups but not show you security groups that have compromised access.
Option Dis partially valid but would just be a maintenance overhead
For more information on the AWS Trusted Advisor, please visit the below URL:
https://aws.amazon.com/premiumsupport/trustedadvisor/best-practices;
The correct answer is: Use the AWS Trusted Advisor to see which security groups have compromised access. Submit your Feedback/Queries to our Experts

NEW QUESTION: 4
What term best describes the AWS pricing model?
Choose the Correct answer:
A. Pay-all-at-end
B. None of the above
C. Pay-as-you-go
D. Pay-all-up-front
Answer: C
Explanation:
AWS operates on a pay-as-you-go model. No upfront cost or termination fees.