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NEW QUESTION: 1
Refer to the exhibit.

Which two of these can cause the phone status error icon that is shown in the exhibit? (Choose two.)
A. The username and password in Cisco Jabber phone services are misconfigured.
B. The Cisco Unified Communications Manager IM and Presence Service is not available.
C. The Cisco Jabber initial audio and video settings need to be set.
D. The called user presence status is unknown.
E. The Cisco Jabber does not have the correct phone button template and hence cannot register to the
Cisco Unified Communications Manager.
F. There is no DN configured for the Cisco Unified Client Services Framework in Cisco Unified
Communications Manager.
Answer: A,F

NEW QUESTION: 2
写真共有および出版会社は、毎日10,000〜150,000枚の画像を受け取ります。同社は、サービスに登録されている複数のサプライヤーやユーザーから画像を受け取ります。同社はAWSに移行しており、AmazonRekognitionを使用してデータを追加することで既存のメタデータを強化したいと考えています。
以下は、追加データの例です。

クラウド移行プログラムの一環として、同社は既存の画像データをAmazon S3にアップロードし、ユーザーに画像をAmazonS3に直接アップロードするように指示しました。
ソリューションアーキテクトは、これらの要件をサポートするために何をすべきですか？
A. S3イベント通知に基づいてAWS Lambdaをトリガーし、AmazonRekognitionを使用して追加のメタデータを作成します。 Amazon RDS MySQL Multi-AZを使用してメタデータ情報を保存し、Lambdaを使用してインデックスを作成します。 Lambdaがサポートする検索機能を備えたWebフロントエンドを使用します。
https://github.com/aws-samples/lambda-refarch-imagerecognition
B. S3イベント通知に基づいてAmazonSQSキューを開始します。次に、AmazonSQSにメタデータ情報をAmazonDynamoDBに送信させます。 Amazon EC2で実行されているアプリケーションは、APIを使用してAmazon Rekognitionからデータを抽出し、DynamoDBとAmazonESにデータを追加します。 Webフロントエンドを使用して、AmazonESに裏打ちされた検索機能を提供します。
C. S3イベント通知に基づいてAWS Lambdaをトリガーし、AmazonRekognitionを使用して追加のメタデータを作成します。 Amazon DynamoDBを使用してメタデータを保存し、AmazonESを使用してインデックスを作成します。 Webフロントエンドを使用して、AmazonESに裏打ちされた検索機能を提供します。
D. Amazon Kinesisを使用して、S3イベントに基づいてデータをストリーミングします。 Amazon EC2で実行されているアプリケーションを使用して、画像からメタデータを抽出します。次に、AmazonDynamoDBとAmazonCloudSearchにデータを保存し、インデックスを作成します。 CloudSearchに裏打ちされた検索機能を備えたWebフロントエンドを使用します。
Answer: C

NEW QUESTION: 3
What happens when someone calls bit your Cisco WebEx Personal Meeting Room is locked or you have not joined a meeting yet?
A. They are redirected to a virtual waiting room.
B. They cannot connect.
C. They join the meeting.
D. They hear a message that you are not available, and then they are disconnected.
Answer: A

NEW QUESTION: 4
Instructions



What is the status of OS Identification?
A. It is only enabled to identify "Cisco IOS" OS using statically mapped OS fingerprinting
B. It is configured to enable OS mapping and ARR only for the 10.0.0.0/24 network.
C. OS mapping information will not be used for Risk Rating calculations.
D. It is enabled for passive OS fingerprinting for all networks.
Answer: D
Explanation:
Understanding Passive OS Fingerprinting
Passive OS fingerprinting lets the sensor determine the OS that hosts are running. The sensor analyzes network traffic between hosts and stores the OS of these hosts with their IP addresses. The sensor inspects TCP SYN and SYNACK packets exchanged on the network to determine the OS type.
The sensor then uses the OS of the target host OS to determine the relevance of the attack to the victim by computing the attack relevance rating component of the risk rating. Based on the relevance of the attack, the sensor may alter the risk rating of the alert for the attack and/or the sensor may filter the alert for the attack. You can then use the risk rating to reduce the number of false positive alerts (a benefit in IDS mode) or definitively drop suspicious packets (a benefit in IPS mode). Passive OS fingerprinting also enhances the alert output by reporting the victim OS, the source of the OS identification, and the relevance to the victim OS in the alert.
Passive OS fingerprinting consists of three components:
* Passive OS learning
Passive OS learning occurs as the sensor observes traffic on the network. Based on the characteristics of TCP SYN and SYNACK packets, the sensor makes a determination of the OS running on the host of the source IP address.
* User-configurable OS identification
You can configure OS host mappings, which take precedence over learned OS mappings.
* Computation of attack relevance rating and risk rating.