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NEW QUESTION: 1
Customersという名前のテーブルを含むOnlineSalesという名前のデータベースがあります。 1時間ごとにCustomersテーブルからデータウェアハウスに増分変更をコピーすることを計画しています。
Customersテーブルの変更追跡を有効にする必要があります。
Transact-SQLステートメントをどのように完成させるべきですか？ 回答するには、適切なTransact-SQLセグメントを正しい場所にドラッグします。 各Transact-SQLセグメントは、1回、複数回、またはまったく使用しないことができます。 コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
Answer:
Explanation:
Explanation
Box 1: DATABASE [OnlineSales]
Before you can use change tracking, you must enable change tracking at the database level. The following example shows how to enable change tracking by using ALTER DATABASE.
ALTER DATABASE AdventureWorks2012
SET CHANGE_TRACKING = ON
(CHANGE_RETENTION = 2 DAYS, AUTO_CLEANUP = ON)
Box 2: CHANGE_TRACKING = ON
ALTER SET CHANGE_RETENTION
Box 3: ALTER TABLE [dbo].[Customers]
Change tracking must be enabled for each table that you want tracked. When change tracking is enabled, change tracking information is maintained for all rows in the table that are affected by a DML operation.
The following example shows how to enable change tracking for a table by using ALTER TABLE.
ALTER TABLE Person.Contact
ENABLE CHANGE_TRACKING
WITH (TRACK_COLUMNS_UPDATED = ON)
Box 4: ENABLE CHANGE_TRACKING
References:
https://docs.microsoft.com/en-us/sql/relational-databases/track-changes/enable-and-disable-change-tracking-sql-
NEW QUESTION: 2
Case Study 2 - MJTelco
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
* Ensure secure and efficient transport and storage of telemetry data
* Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
* Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately
100m records/day
* Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure. We also need environments in which our data scientists can carefully study and quickly adapt our models. Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis.
Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing fine-grained analysis of each day's events. They also want to use streaming ingestion. What should you do?
A. Create a table called tracking_table with a TIMESTAMP column to represent the day.
B. Create a table called tracking_table and include a DATE column.
C. Create a partitioned table called tracking_table and include a TIMESTAMP column.
D. Create sharded tables for each day following the pattern tracking_table_YYYYMMDD.
Answer: C
NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com. All servers run Windows Server 2008 R2. Routers on the network support multicast transmissions.
A server named Server1 has the Windows Deployment Services (WDS) server role installed. A custom Windows 7 image is available for download from Server1.
You need to deploy the image to 100 new computers by using multicast. The solution must prevent computers that use low-bandwidth connections from slowing the deployment to computers that use high-bandwidth connections.
What should you do?
A. Enable Scheduled-Cast.
B. From the WDS server properties, modify the Multicast IP Address settings.
C. Enable Auto-Cast.
D. From the WDS server properties, adjust the Transfer Settings.
Answer: D
Explanation:
To enable multicasting of an install image
Before you create a transmission, you should set the transfer policy for the server. To do this, right-click the server, click Properties, click the Multicast tab, and select an option under Transfer Settings. These settings allow you to enable the following: Multiple stream transfer. The first option under Transfer Settings uses a single stream for all multicast clients, regardless of client speed. The next two options allow you to separate slower clients into their own multicast stream, which enables faster clients to complete their deployment more quickly instead of being held back by slower clients. These settings are only available for clients that boot into a boot image from Windows 7 or Windows Server 2008 R2.
Source: http://technet.microsoft.com/en-us/library/cc726063.aspx
NEW QUESTION: 4
Your network contains a Hyper-V host named Host1. Host1 hosts 25 virtual machines.
All of the virtual machines are configured to start automatically when Host1 restarts.
You discover that some of the virtual machines fail to start automatically when Host1 restarts and require an administrator to start them manually.
You need to modify the settings of the virtual machines to ensure that they automatically restart when Host1 restarts.
Which settings should you modify?
A. Startup RAM
B. Maximum RAM
C. Minimum RAM
D. Memory weight
Answer: A