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NEW QUESTION: 1
注:この質問は、同じまたは類似の回答の選択肢を使用する一連の質問の一部です。回答の選択は、シリーズ内の複数の質問に対して正しい場合があります。各質問は、このシリーズの他の質問とは無関係です。
質問に記載されている情報と詳細は、その質問にのみ適用されます。
次のテーブルを含むDB1という名前のMicrosoft SQL Serverデータベースがあります。

ユーザーは次のクエリを頻繁に実行します。ユーザーは、クエリが結果を返すのに長い時間がかかることを報告します。

クエリがデータを返すのに必要な時間を最小限に抑える必要があります。あなたは何をするべきか?
A. TBL1の既存のインデックスを削除してから、クラスタ化カラムストアインデックスを作成します。 TBL1にノンクラスタードカラムストアインデックスを作成します。 TBL2にノンクラスタードインデックスを作成します。
B. TBL1とTBL2の両方にCHECK制約を作成します。TBL1とTBL2の列を組み合わせたパーティションビューを作成します。
C. TBL1とTBL2にクラスタ化インデックスを作成します。
D. TBL2にのみ非クラスタ化インデックスを作成します。
E. TBL1とTBL2の列を組み合わせたインデックス付きビューを作成します。
F. TBL1とTBL2の両方に一意の制約を作成します。 TBL1とTBL2の列を組み合わせたパーティションビューを作成します。
G. tbliに既存のインデックスを削除してから、クラスタ化カラムストアインデックスを作成します。 tbliにノンクラスタードカラムストアインデックスを作成します。 TBL2を変更しないでください。
H. TBL1にクラスタ化インデックスを作成します。 TBL2にノンクラスタードインデックスを作成し、最も頻繁にクエリされる列をインクルード列として追加します。
Answer: B

NEW QUESTION: 2
A security engineer is assisting a developer with input validation, and they are studying the following code block:

The security engineer wants to ensure strong input validation is in place for customer-provided account identifiers. These identifiers are ten-digit numbers. The developer wants to ensure input validation is fast because a large number of people use the system.
Which of the following would be the BEST advice for the security engineer to give to the developer?
A. Parse input into an array
B. Replace code with Java-based type checks
C. Canonicalize input into string objects before validation
D. Use regular expressions
Answer: D

NEW QUESTION: 3
展示を参照してください。

DSW1がVLAN 10および20のルートブリッジになることを保証する2つのコマンドはどれですか? (2つ選択してください。)
A. spanning-tree mst vlan 10,20 priority root
B. spanning-tree mstp 1 priority 0
C. spanning-tree mst 1 priority 1
D. spanning-tree mst 1 root primary
E. spanning-tree mstp vlan 10,20 root primary
F. spanning-tree mst 1 priority 4096
Answer: D,F

NEW QUESTION: 4
HOTSPOT
You are developing a Web App that uses Azure Search. You deploy the Web App to the Standard service tier.
You need to add resources to the Azure Search service.
What should you do? To answer, select the appropriate resource from each list in the answer area.

Answer:
Explanation:

Case Study
Woodgrove Bank
Background
Overview
Woodgrove Bank has 20 regional offices and operates 1,500 branch office locations. Each regional office hosts the servers, infrastructure, and applications that support that region.
Woodgrove Bank plans to move all of their on-premises resources to Azure, including virtual machine (VM)-based, line-of-business workloads, and SQL databases. You are the owner of the Azure subscription that Woodgrove Bank is using. Your team is using Git repositories hosted on GitHub for source control.
Security
Currently, Woodgrove Bank's Computer Security Incident Response Team (CSIRT) has a problem investigating security issues due to the lack of security intelligence integrated with their current incident response tools. This lack of integration introduces a problem during the detection (too many false positives), assessment, and diagnose stages. You decide to use Azure Security Center to help address this problem.
Woodgrove Bank has several apps with regulated data such as Personally Identifiable Information (PII) that require a higher level of security. All apps are currently secured by using an on-premises Active Directory Domain Services (ADDS). The company depends on the following mission-critical apps: WGBLoanMaster, WGBLeaseLeader, and WGBCreditCruncher apps. You plan to move each of these apps to Azure as part of an app migration project.
Apps
The WGBLoanMaster app has been audited for transaction loss. Many transactions have been lost in processing and monetary write-offs have cost the bank. The app runs on two VMs that include several public endpoints.
The WGBLeaseLeader app has been audited for several data breaches. The app includes a SQL Server database and a web-based portal. The portal uses an ASP.NET Web API function to generate a monthly aggregate report from the database.
The WGBCreditCruncher app runs on a VM and is load balanced at the network level. The app includes several stateless components and must accommodate scaling of increased credit processing. The app runs on a nightly basis to process credit transactions that are batched during the day. The app includes a web-based portal where customers can check their credit information. A mobile version of the app allows users to upload check images.
Business Requirements
WGBLoanMaster app
The app audit revealed a need for zero transaction loss. The business is losing money due to the app losing and not processing loan information. In addition, transactions fail to process after running for a long time. The business has requested the aggregation processing to be scheduled for 01:00 to prevent system slowdown.
WGBLeaseLeader app
The app should be secured to stop data breaches. If the data is breached, it must not be readable.
The app is continuing to see increased volume and the business does not want the issues presented in the WGBLoanMaster app. Transaction loss is unacceptable, and although the lease monetary amounts are smaller than loans, they are still an important profit center for Woodgrove Bank. The business would also like the monthly report to be automatically generated on the first of the month. Currently, a user must log in to the portal and click a button to generate the report.
WGBCreditCruncher app
The web-based portal area of the app must allow users to sign in with their Facebook credentials.
The bank would like to allow this feature to enable more users to check their credit within the app.
Woodgrove Bank needs to develop a new financial risk modeling feature that they can include in the WGBCreditCruncher app. The financial risk modeling feature has not been developed due to costs associated with processing, transforming, and analyzing the large volumes of data that are collected. You need to find a way to implement parallel processing to ensure that the features run efficiently, reliably, and quickly. The feature must scale based on computing demand to process the large volumes of data and output several financial risk models.
Technical Requirements
WGBLoanMaster app
The app uses several compute-intensive tasks that create long-running requests to the system.
The app is critical to the business and must be scalable to increased loan processing demands.
The VMs that run the app include a Windows Task Scheduler task that aggregates loan information from the app to send to a third party. This task runs a console app on the VM.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
*Allow messages to reside in the queue for up to a month.
*Be able to publish and consume batches of messages.
*Allow full integration with the Windows Communication Foundation (WCF) communication stack.
*Provide a role-based access model to the queues, including different permissions for senders and receivers.
You develop an Azure Resource Manager (ARM) template to deploy the VMs used to support the app. The template must be deployed to a new resource group and you must validate your deployment settings before creating actual resources.
WGBLeaseLeader app
The app must use Azure SQL Databases as a replacement to the current Microsoft SQL Server environment. The monthly report must be automatically generated.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
*Require server-side logs of all of the transactions run against your queues.
*Track progress of a message within the queue.
*Process the messages within 7 days.
*Provide a differing timeout value per message.
WGBCreditCruncher app
The app must:
*Secure inbound and outbound traffic.
*Analyze inbound network traffic for vulnerabilities.
*Use an instance-level public IP and allow web traffic on port 443 only.
*Upgrade the portal to a Single Page Application (SPA) that uses JavaScript, Azure Active Directory (Azure AD), and the OAuth 2.0 implicit authorization grant to secure the Web API back end.
*Cache authentication and host the Web API back end using the Open Web Interface for .NET (OWIN) middleware.
*Immediately compress check images received from the mobile web app.
*Schedule processing of the batched credit transactions on a nightly basis.
*Provide parallel processing and scalable computing resources to output financial risk models.
*Use simultaneous computer nodes to enable high performance computing and updating of the financial risk models.
Key security area