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NEW QUESTION: 1
For customers, what is an advantage of utilizing Ethernet storage solutions?
A. Ethernet is tar faster and more reliable than Fibre Channel solutions.
B. Ethernet is a made-for-storage technology that is exclusively used in storage solutions.
C. The customer's IT personnel will not have to acquire specialized skills to deploy the storage network.
D. The Ethernet storage solution can mix HDDs and SSDs. which is not allowed with Fibre Channel
solutions.
Answer: C

NEW QUESTION: 2
You create and save an Azure Resource Manager template named Template1 that includes the following four sections.

You deploy template1.
For each of the following statement, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 3
これらのステートメントのうち、IPv6アドレス表現に当てはまるものはどれですか？ （2つ選択してください。）
A. すべてのIPv6インターフェイスには、少なくとも1つのループバックアドレスが含まれます。
B. IPv6 16ビット16進数フィールドの先頭のゼロは必須です。
C. IPv6アドレスには、ユニキャスト、マルチキャスト、エニーキャスト、ブロードキャストの4種類があります。
D. 単一のインターフェースに、任意のタイプの複数のIPv6アドレスを割り当てることができます。
E. 最初の64ビットは、動的に作成されたインターフェイスIDを表します。
Answer: A,D
Explanation:
http://www.cisco.com/en/US/technologies/tk648/tk872/technologies_white_paper0900aecd
8026003d.pdf
単一のインターフェイスに、任意のタイプ（ユニキャスト、エニーキャスト、マルチキャスト）の複数のアドレスを割り当てることができます。
すべてのIPv6対応インターフェイスには、少なくとも1つのループバックアドレスと1つのリンクローカルアドレスが含まれている必要があります。
オプションで、すべてのインターフェイスに複数の一意のローカルおよびグローバルアドレスを設定できます。 IPv6ホストアドレスは、複数の方法で割り当てることができます。
静的構成
ステートレス自動構成
DHCPv6
イーサネットネットワークでIPv6を使用する場合、イーサネットMACアドレスを使用して、ホストの64ビットインターフェイスIDを生成できます。これはEUI-64アドレスと呼ばれます。 MACアドレスは
48ビット。追加のビットを挿入して、必要な64ビットを埋める必要があります。

NEW QUESTION: 4
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 the series.
Start of repeated scenario
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 to daily. The FactOrder 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.
* 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 FactOrder 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.
End of repeated scenario
You need to optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Which technology should you use for each table?
To answer, select the appropriate technologies in the answer area.


Answer:
Explanation:

Explanation

Box 1: Temporal table
Box 2: Temporal table
Compared to CDC, Temporal tables are more efficient in storing historical data as it ignores insert actions.
Box 3: Change Data Capture (CDC)
By using change data capture, you can track changes that have occurred over time to your table. This kind of functionality is useful for applications, like a data warehouse load process that need to identify changes, so they can correctly apply updates to track historical changes over time.
CDC is good for maintaining slowly changing dimensions.
Scenario: Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated.
References:
https://www.mssqltips.com/sqlservertip/5212/sql-server-temporal-tables-vs-change-data-capture-vs-change-track
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios?view=sql-server