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NEW QUESTION: 1
매출 채권 수집 기간은 다음과 같습니다.
A. 재고를 일일 평균 판매량으로 나눈 값입니다.
B. 당일 판매 미달.
C. 현금 변환주기.
D. 재고 변환 기간.
Answer: B
Explanation:
The day's sales outstanding days of receivables) may be stated as the accounts receivable balance divided by average credit sales per day or as days in the year divided by the receivables turnover. It is the average time required to convert the entity's receivables into cash. Thus, it is also called the receivables collection period.

NEW QUESTION: 2
What categories should an administrator utilize to classify cloud applications during the cloud applications adoption workflow?
A. Valid, Invalid, In Process
B. Sanction, Monitor, Block
C. Accept, Reject, Block
D. Accept, Monitor, Block
Answer: B
Explanation:
Explanation/Reference:
Reference: https://www.symantec.com/content/dam/symantec/docs/solution-briefs/shadow-it-discovery- best-practices-guide-en.pdf

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types for the various tasks associated to the processing pipeline.
You are planning a storage strategy for a large amount of analytic data used for the crime data analytics system. The initial data load involves over 100 billion records, and more than two billion records will be added daily.
You already created an Apache Hadoop cluster in HDInsight premium.
You need to implement the storage strategy to meet the following requirements:
The storage capacity must support 50 TB.
The storage must be optimized for Hadoop.
The data must be stored in its native format.
Enterprise-level security based on Active Directory must be supported.
What should you create?
A. a virtual machine (VM) by using the Data Science Virtual Machine template for Windows that has premium storage, a G-series size, and uses Microsoft SQL Server 2016 to store the data
B. an Azure Data Lake Store account by using the Azure portal
C. an Azure Blob storage account by using the Azure portal
D. an Azure Data Lake Analytics service by using Azure PowerShell
Answer: B
Explanation:
References: https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-get-started-portal

NEW QUESTION: 4
お客様から、トップオブラックスイッチのスタックのアーキテクチャと部品表を提供するように依頼されました。ラック内に34のHPE DL360サーバーがあり、それぞれに4つの1GBASE-Tイーサネットポートがあり、ネットワークに接続する必要があります。
お客様は、サーバーの1GBASE-Tイーサネットポートの50％を10GBASE-Tイーサネットポートにアップグレードしており、アップグレードされたサーバーをサポートするための切り替えが必要です。シャーシスイッチとは反対であり、ネットワーク上の管理対象デバイスの数を最小限に抑えたいと考えています。
どのアーキテクチャがお客様の要件を満たしていますか？
A. One IRF stack of four HPE 5710 48-port 1/10GBASE-T switches
B. Two VSX stacks of two Aruba 8320 48-port 1/10GBASE-T switches
C. Two IRF stacks of two HPE 5710 48-port 1/10GBASE-T switches
D. One VSX stack of four Aruba 8320 48-port 1/10GBASE-T switches
Answer: D