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NEW QUESTION: 1

A. Option C
B. Option A
C. Option D
D. Option B
Answer: A
Explanation:
Token Ring networks are quite rare today. Token Ring networks use the ring topology. Despite being called a Ring
topology, the ring is logical and the physical network structure often forms a 'star' topology with all computers on the
network connecting to a central multistation access unit (MAU). The MAU implements the logical ring by transmitting
signals to each node in turn and waiting for the node to send them back before it transmits to the next node.
Therefore, although the cables are physically connected in a star, the data path takes the form of a ring. If any
computer or network cable fails in a token ring network, the remainder of the network remains functional. The MAU
has the intelligence to isolate the failed segment.
To ensure that the computers need to wait to talk on the network to avoid congestions, a Token Ring network uses a
'token'. The token continually passes around the network until a computer needs to send data. The computer then
takes the token and transmits the data beforereleasing the token. Only a computer in possession of the token can
transmit data onto the network.

NEW QUESTION: 2
Oracle Cloud Infrastructure Identity and Access Management（IAM）を管理するために使用される3つのタイプの資格証明はどれですか？ （3つ選択してください。）
A. Swiftパスワード
B. SSHキー
C. コンソールパスワード
D. Windowsパスワード
E. API署名キー
Answer: A,C,E
Explanation:
References:
You manage the following types of credentials with Oracle Cloud Infrastructure IAM:
Console password: For signing in to the Console, which is the user interface for interacting with Oracle Cloud Infrastructure API signing key (in PEM format): For sending API requests, which require authentication Swift password: For using a Swift client with Recovery Manager (RMAN) to back up an Oracle Database System (DB System) database to Object Storage
https://cloud.oracle.com/iaas/whitepapers/best-practices-for-iam-on-oci.pdf

NEW QUESTION: 3
次の表に示すユーザーを含むContoso.comという名前のAzure Active Directory（Azure AD）テナントがあります。
次の図に示すように、ユーザー管理者ロールはAzure ADの特権ID管理（PIM）で構成されます。

User4をユーザー管理者の役割に適格にします。
以下の各ステートメントについて、ステートメントが真の場合は「はい」を選択します。 それ以外の場合は、[いいえ]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:

NEW QUESTION: 4
You plan to create a bot that will support five languages. The bot will be used by users located in three different countries. The bot will answer common customer questions. The bot will use Language Understanding (LUIS) to identify which skill to use and to detect the language of the customer.
You need to identify the minimum number of Azure resources that must be created for the planned bot.
How many QnA Maker, LUIS and Language Detection instances should you create? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection