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NEW QUESTION: 1
次の各ステートメントについて、ステートメントがtrue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：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Yes
Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review.
The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Reference:
https://azure.microsoft.com/es-es/blog/machine-assisted-text-classification-on-content-moderator-public-preview
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

NEW QUESTION: 2
How many bits represent the network ID in iPv6?
A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 3
Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?
A. Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
B. Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
C. Use K-means Clustering to detect faces in the pixels.
D. Use feature engineering to add features for eyes, noses, and mouths to the input data.
Answer: B
Explanation:
Explanation
Traditional machine learning relies on shallow nets, composed of one input and one output layer, and at most one hidden layer in between. More than three layers (including input and output) qualifies as "deep" learning.
So deep is a strictly defined, technical term that means more than one hidden layer.
In deep-learning networks, each layer of nodes trains on a distinct set of features based on the previous layer's output. The further you advance into the neural net, the more complex the features your nodes can recognize, since they aggregate and recombine features from the previous layer.
A neural network with only one hidden layer would be unable to automatically recognize high-level features of faces, such as eyes, because it wouldn't be able to "build" these features using previous hidden layers that detect low-level features, such as lines.
Feature engineering is difficult to perform on raw image data.
K-means Clustering is an unsupervised learning method used to categorize unlabeled data.
Reference: https://deeplearning4j.org/neuralnet-overview

NEW QUESTION: 4
会社には、100台のクライアントコンピューターを含むロンドンに本社があります。
3年前、Azure Active Directory（Azure AD）に移行しました。
会社のセキュリティポリシーでは、すべての個人用デバイスと企業所有デバイスをAzure ADに登録または参加する必要があると規定しています。
User1という名前のリモートユーザーは、ホームネットワークから個人用デバイスをAzure ADに参加できません。
他のユーザーがデバイスをAzure ADに参加できることを確認します。
User1がデバイスをAzure ADに参加できるようにする必要があります。
あなたは何をするべきか？
A. [デバイス設定]ブレードから、ユーザー設定ごとのデバイスの最大数を変更します。
B. デバイス設定ブレードから、ユーザーがデバイスをAzure ADsettingに参加させることができるように変更します。
C. User1のホームネットワークからAzureへのポイントツーサイトVPNを作成します。
D. ユーザー管理者ロールをUser1に割り当てます。
Answer: A
Explanation:
The Maximum number of devices setting enables you to select the maximum number of devices that a user can have in Azure AD. If a user reaches this quota, they will not be able to add additional devices until one or more of the existing devices are removed.
Incorrect Answers:
A: The Users may join devices to Azure AD setting enables you to select the users who can join devices to Azure AD. Options are All, Selected and None. The default is All.
C: Azure AD Join enables users to join their devices to Active Directory from anywhere as long as they have connectivity with the Internet.
References:
https://docs.microsoft.com/en-us/azure/active-directory/devices/device-management-azure-portal
http://techgenix.com/pros-and-cons-azure-ad-join/