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NEW QUESTION: 1
Answer:
Explanation:
Explanation
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.
NEW QUESTION: 2
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。そうでなければ、いいえを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
NEW QUESTION: 3
DRAG DROP
Background
You manage a Microsoft SQL Server environment that includes the following databases: DB1, DB2, Reporting.
The environment also includes SQL Reporting Services (SSRS) and SQL Server Analysis Services (SSAS). All SSRS and SSAS servers use named instances. You configure a firewall rule for SSAS.
Databases
Database Name:
DB1
Notes:
This database was migrated from SQL Server 2012 to SQL Server 2016. Thousands of records are inserted into DB1 or updated each second. Inserts are made by many different external applications that your company's developers do not control. You observe that transaction log write latency is a bottleneck in performance. Because of the transient nature of all the data in this database, the business can tolerate some data loss in the event of a server shutdown.
Database Name:
DB2
Notes:
This database was migrated from SQL Server 2012 to SQL Server 2016. Thousands of records are updated or inserted per second. You observe that the WRITELOG wait type is the highest aggregated wait type. Most writes must have no tolerance for data loss in the event of a server shutdown. The business has identified certain write queries where data loss is tolerable in the event of a server shutdown.
Database Name:
Reporting
Notes:
You create a SQL Server-authenticated login named BIAppUser on the SQL Server instance to support users of the Reporting database. The BIAppUser login is not a member of the sysadmin role.
You plan to configure performance-monitoring alerts for this instance by using SQL Agent Alerts.
You create a login named BIAppUser. The login must be able to access the Reporting database.
You need to grant access to the BIAppUser login in the database.
How should you complete the Transact-SQL statements? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL segment 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.
Select and Place:
Answer:
Explanation:
Explanation/Reference:
Explanation:
Box 1: Reporting
The user is to be created in the Reporting database.
Box 2: CREATE USER
Box 3: FOR LOGIN [BIAppUser]
Users are created per database and are associated with logins. You must be connected to the database in where you want to create the user. Here is some sample Transact-SQL that creates a user:
CREATE USER readonlyuser FROM LOGIN readonlylogin;
References: https://azure.microsoft.com/en-us/blog/adding-users-to-your-sql-azure-database/
NEW QUESTION: 4
クラウドデータライフサイクルのどのフェーズでも、通常、データ分類のプロセスが必要ですか？
A. ストア
B. アーカイブ
C. 作成
D. 使用
Answer: C
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