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NEW QUESTION: 1
Ranking conflicts occur between the NPV and IRR methods because I NPV profiles have differing slopes.
II IRR assumes reinvestment of intermediate cash flows at the IRR rate. III IRR doesn't take into account cash flows occurring far in the future. IV NPV incorrectly uses the same discount rate for all cash flows.
A. II only
B. I, II and III only
C. All of these are correct
D. I and II only
E. II, III and IV only
F. I only
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Project with differing initial investments and cash flow patterns may have NPV profiles with differing slopes.
The point at which the NPV profiles cross represents the discount rate at which the NPV of both projects is the same. There will be ranking conflicts between NPV and IRR at discount rates below this point. The NPV method implicitly assumes that the rate at which cash flows can be reinvested is the cost of capital, whereas the IRR method assumes that the firm can reinvest at the IRR. IRR does take all cash flows into account, even those far in the future. It is correct to use the same discount rate for all project cash flows, unless you know project risk will change in the future.
NEW QUESTION: 2
会社のWebアプリケーションは、Amazon RDS PostgreSQL DBインスタンスを使用して、そのアプリケーションデータを格納します。
毎月初めの決算期。会計士は、使用率が高いためにデータベースのパフォーマンスに影響を与える大きなクエリを実行します。同社は、レポートアクティビティがWebアプリケーションに与える影響を最小限に抑えたいと考えています。
ソリューションアーキテクトは、最小限の労力でデータベースへの影響を減らすために何をすべきですか？
A. クロスリージョンリードレプリカを作成し、レポートトラフィックをレプリカに送信します。
B. Amazon Redshiftデータベースを作成し、レポートトラフィックをAmazon Redshiftデータベースに転送します。
C. リードレプリカを作成し、レポートトラフィックをレプリカに送信します。
D. マルチAZデータベースを作成し、レポートトラフィックをスタンバイに転送します。
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html Amazon RDS uses the MariaDB, MySQL, Oracle, PostgreSQL, and Microsoft SQL Server DB engines' built-in replication functionality to create a special type of DB instance called a read replica from a source DB instance. Updates made to the source DB instance are asynchronously copied to the read replica. You can reduce the load on your source DB instance by routing read queries from your applications to the read replica.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html Amazon RDS uses the MariaDB, MySQL, Oracle, PostgreSQL, and Microsoft SQL Server DB engines' built-in replication functionality to create a special type of DB instance called a read replica from a source DB instance. Updates made to the source DB instance are asynchronously copied to the read replica. You can reduce the load on your source DB instance by routing read queries from your applications to the read replica.
NEW QUESTION: 3
For a user-to-account correlation, choose four valid correlation rules.
-_$account.LastName"
A. @IdentityCorrelationRule rule="$globaluser.userName=$account. userName"
B. @ldentityCorrelationRule rule="$globaluser.userName="$account. FirstName(-1.1)
C. @IdentityCorrelationRule rule="globaluser.userName (-10) =$account .name"
D. @ldentityCorrelationRule rule="$globaluser.userName=$account. FirstName (-1.1) $account.LastName"
E. @IdentityCorrelationRule rule= $globalUser.userName= [defaultuser] "
Answer: A,B,D,E
Explanation:
The error in C is that globaluser.userName is used instead of
$globaluser.userName.
A correlation rule checks if the global user field matches an account field. The left side of the rule
(before the = sign) is associated with the global user, and the right side of the role is associated
with the account. For example, $globalUser.userName=$account.userName.
Note:
When creating data correlation rules, remember the following:
*Only one attribute can be set at a time for global users (on the left side of the rule), but any number of expressions can be configured on the right side of the rule for accounts.
*Correlation rules, once defined, are evaluated in the same order as they are found in the schema file.
*No patterns can be applied to the global user attribute. For example #globaluser.userName(-10) is not allowed.
*The default correlation rule to associate users to their entitlements on the basis of their user IDs is $globaluser.userName=$account.userName.
*The global user attribute and the global user table column should bear the same name for the data correlation feature to function correctly. For example, userName is the attribute that appears in the Oracle Identity Analytics table for global users and should be named accordingly.
*When one global user accurately meets a certain rule designed for it, the correlation is established between the user and entitlements and no further expressions are evaluated forthat account.
*If more than one global user meets a correlation rule for a given account, the next correlation rule is evaluated. Subsequently, both results are intersected, and, if as a result of this intersection only one global user meets both rules,that global user is correlated to the account.
Reference: Oracle Identity Analytics Business Administrator's Guide
Writing Correlation Rules
NEW QUESTION: 4
You need to implement Windows Defender ATP to meet the security requirements. What should you do?
A. Download and install the Microsoft Monitoring Agent
B. Create the ForceDefenderPassiveMode registry setting
C. Configure port mirroring
D. Run WindowsDefenderATPOnboardingScript.cmd
Answer: A
Explanation:
Topic 3, Contoso, Ltd
Overview
Contoso, Ltd. is a consulting company that has a main office in Montreal and three branch offices in Seattle, and New York.
The company has the offices shown in the following table.
Contoso has IT, human resources (HR), legal, marketing, and finance departments. Contoso uses Microsoft 365.
Existing Environment
Infrastructure
The network contains an Active Directory domain named contoso.com that is synced to a Microsoft Azure Active Directory (Azure AD) tenant. Password writeback is enabled.
The domain contains servers that run Windows Server 2016. The domain contains laptops and desktop computers that run Windows 10 Enterprise.
Each client computer has a single volume.
Each office connects to the Internet by using a NAT device. The offices have the IP addresses shown in the following table.
Named locations are defined in Azure AD as shown in the following table.
From the Multi-Factor Authentication page, an address space of 198.35.3.0/24 is defined in the trusted IPs list.
Azure Multi-Factor Authentication (MFA) is enabled for the users in the finance department.
The tenant contains the users shown in the following table.
The tenant contains the groups shown in the following table.
Customer Lockbox is enabled in Microsoft 365.
Microsoft Intune Configuration
The devices enrolled in Intune are configured as shown in the following table.
The device compliance policies in Intune are configured as shown in the following table.
The device compliance policies have the assignments shown in the following table.
The Mark devices with no compliance policy assigned as setting is set to Compliant.
Requirements
Technical Requirements
Contoso identifies the following technical requirements:
* Use the principle of least privilege
* Enable User1 to assign the Reports reader role to users
* Ensure that User6 approves Customer Lockbox requests as quickly as possible
* Ensure that User9 can implement Azure AD Privileged Identity Management