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NEW QUESTION: 1
Why do large OSPF networks use a hierarchical design? (Choose three.)
A. to lower costs by replacing routers with distribution layer switches
B. to speed up convergence
C. to reduce the complexity of router configuration
D. to decrease latency by increasing bandwidth
E. to reduce routing overhead
F. to confine network instability to single areas of the network
Answer: B,E,F
Explanation:
Explanation/Reference:
Explanation:
OSPF implements a two-tier hierarchical routing model that uses a core or backbone tier known as area zero (0). Attached to that backbone via area border routers (ABRs) are a number of secondary tier areas.
The hierarchical approach is used to achieve the following:
-
-
Rapid convergence because of link and/or switch failures
Deterministic traffic recovery
-
Scalable and manageable routing hierarchy, reduced routing overhead.
NEW QUESTION: 2
Which statement about the 4-port GigabitEthernet card with hardware bypass is true?
A. Hardware bypass is supported between any of the four GigabitEthernet ports
B. Hardware bypass only works with inline interface pairs.
C. Hardware bypass is independent from software bypass.
D. Hardware bypass is enabled if software bypass is configured to "OFF".
E. Hardware bypass is only supported on the Cisco IPS 4270 appliance.
Answer: B
NEW QUESTION: 3
An engineer finishes the initial set up of a VXLAN EVPN network. The engineer is asked to plan for external connectivity that supports redundancy and extends multiple virtual routing and forwarding domains. The requirement is to use the same default gateway addressing across all leaf switches that belong to the VXLAN network.
Which two solutions must be used to meet these requirements? (Choose two.)
A. Distributed Anycast Gateway
B. Inter-Site Network
C. DC Interconnect
D. Spanning Tree Protocol
E. VRF-Lite
Answer: A,C
NEW QUESTION: 4
会社は、Azure Cognitive Services APIを使用する複数のアプリを展開する予定です。
次の要件を満たすには、どのCognitive Services APIを使用する必要があるかを推奨する必要があります。
*複数の言語で不適切なテキストや冒とく的な表現を識別できる必要があります。
*テキスト入力を使用して送信されたユーザーリクエストを解釈できる必要があります。
*テキスト内の名前付きエンティティを識別できる必要があります。
各要件に推奨するAPIはどれですか？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
Box 1: Content Moderator
The Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.
Box 2: Language Understanding (LUIS)
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Box 3: Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
References:
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview
https://www.luis.ai/home
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/