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NEW QUESTION: 1
顧客は、使用済み請求書の割合に基づいて請求を実行したいと考えています。要件に従って請求額を計算するためにプロジェクト契約で必要な2つの設定を特定します。 （2つ選択してください。）
A. 支出項目
B. 課金管理
C. 請求書プラン
D. 請求方法
E. 請求イベント
Answer: B,C
Explanation:
Explanation
Ref:
https://docs.oracle.com/en/cloud/saas/project-portfolio-management/19b/oapjb/create-customer-contract.html#O Bill Plan - Create a bill plan within a contract that uses the invoice method you require. Assign the bill plan to one or more contract lines. A set of instructions on a contract that define how to invoice a customer. Multiple contract lines on a contract can use the same or different bill plans. Invoice Method is used in creating Bill Plan - not a separate setup.
Billing Controls - Contract feature that controls the types of transactions, dates, and amounts a customer may be invoiced for and revenue can be recognized for a contract or contract line. Define billing controls at the contract or contract line level.
Topic - Creating a Contract for Percent Spent Invoice and Revenue Methods: Worked Example This example describes a scenario where transactions for a contract line need to be invoiced and the revenue recognized using the percent spent method.
What are the revenue and invoice method classifications?Percent Spent
What is the billing extension calculation level for the contract line and project association?Project level Summary of the Tasks Create a contract, create the percent spent contract lines, create the bill plan, create the revenue plan.
Prerequisites
* Create a project.
* Create the project plan for percent spent revenue. Specify the plan type on the percent spent billing extension.
* Create an approved cost budget.
* Create cost and burden rates.
* Enter labor and expense transactions for the project.
* Collect costs for the transactions.
Configuration Steps
* Creating the Contract
* Creating the Percent Spent Contract Lines
* Creating the Bill Plan - A set of instructions on a contract that define how to invoice a customer.
Multiple contract lines on a contract can use the same or different bill plans.
* Creating the Revenue Plan - Common set of instructions for recognizing revenue within a contract.
Multiple contract lines on a contract can use the same or different revenue plans.
Invoice method classifications determine how transactions are invoiced. The invoice method determines how invoice amounts are derived.
* Enter an invoice method on a bill plan, which you create for a contract and assign to contract lines to provide a set of instructions for creating an invoice.
* Create billing controls for a contract or contract line to define the valid transaction dates, billing resources, and amount limits for transactions associated with the contract.
* Generate invoices to calculate the invoice amounts for a contract.
The following figure illustrates the components of a project and a contract that determine invoice amounts, and the relationships between the components.
Project and contract components used to determine invoice amounts and generate invoices.

NEW QUESTION: 2
You are implementing version flexible SnapMirror in a clustered Data ONTAP 8.3 environment.
Which type of SnapMirror policy would be used?
A. async-mirror
B. sync-mirror
C. version-flexible
D. vault
Answer: A
Explanation:
https://library.netapp.com/ecm/ecm_download_file/ECMP1610205

NEW QUESTION: 3
部門番号：5ホットスポット
センサーの認証および許可方法を設計する必要があります。
何をお勧めしますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData Sensors must have permission only to add items to the SensorData collection Box 1: Resource Token Resource tokens provide access to the application resources within a Cosmos DB database.
Enable clients to read, write, and delete resources in the Cosmos DB account according to the permissions they've been granted.
Box 2: Cosmos DB user
You can use a resource token (by creating Cosmos DB users and permissions) when you want to provide access to resources in your Cosmos DB account to a client that cannot be trusted with the master key.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/secure-access-to-data
Topic 3, Case study 2
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the button to return to the question.
Background
Current environment
The company has the following virtual machines (VMs):

Requirements
Storage and processing
You must be able to use a file system view of data stored in a blob.
You must build an architecture that will allow Contoso to use the DB FS filesystem layer over a blob store.
The architecture will need to support data files, libraries, and images. Additionally, it must provide a web-based interface to documents that contain runnable command, visualizations, and narrative text such as a notebook.
CONT_SQL3 requires an initial scale of 35000 IOPS.
CONT_SQL1 and CONT_SQL2 must use the vCore model and should include replicas. The solution must support 8000 IOPS.
The storage should be configured to optimized storage for database OLTP workloads.
Migration
* You must be able to independently scale compute and storage resources.
* You must migrate all SQL Server workloads to Azure. You must identify related machines in the on-premises environment, get disk size data usage information.
* Data from SQL Server must include zone redundant storage.
* You need to ensure that app components can reside on-premises while interacting with components that run in the Azure public cloud.
* SAP data must remain on-premises.
* The Azure Site Recovery (ASR) results should contain per-machine data.
Business requirements
* You must design a regional disaster recovery topology.
* The database backups have regulatory purposes and must be retained for seven years.
* CONT_SQL1 stores customers sales data that requires ETL operations for data analysis. A solution is required that reads data from SQL, performs ETL, and outputs to Power BI. The solution should use managed clusters to minimize costs. To optimize logistics, Contoso needs to analyze customer sales data to see if certain products are tied to specific times in the year.
* The analytics solution for customer sales data must be available during a regional outage.
Security and auditing
* Contoso requires all corporate computers to enable Windows Firewall.
* Azure servers should be able to ping other Contoso Azure servers.
* Employee PII must be encrypted in memory, in motion, and at rest. Any data encrypted by SQL Server must support equality searches, grouping, indexing, and joining on the encrypted data.
* Keys must be secured by using hardware security modules (HSMs).
* CONT_SQL3 must not communicate over the default ports
Cost
* All solutions must minimize cost and resources.
* The organization does not want any unexpected charges.
* The data engineers must set the SQL Data Warehouse compute resources to consume 300 DWUs.
* CONT_SQL2 is not fully utilized during non-peak hours. You must minimize resource costs for during non-peak hours.