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NEW QUESTION: 1
You work for a shipping company that has distribution centers where packages move on delivery lines to route them properly. The company wants to add cameras to the delivery lines to detect and track any visual damage to the packages in transit. You need to create a way to automate the detection of damaged packages and flag them for human review in real time while the packages are in transit. Which solution should you choose?
A. Train an AutoML model on your corpus of images, and build an API around that model to integrate with the package tracking applications.
B. Use BigQuery machine learning to be able to train the model at scale, so you can analyze the packages in batches.
C. Use the Cloud Vision API to detect for damage, and raise an alert through Cloud Functions. Integrate the package tracking applications with this function.
D. Use TensorFlow to create a model that is trained on your corpus of images. Create a Python notebook in Cloud Datalab that uses this model so you can analyze for damaged packages.
Answer: B

NEW QUESTION: 2
会社の工場でTwitterハッシュタグを監視します。次に、関連する感情を含む接続された人々と場所のグラフを作成します。
監視されるハッシュタグは複数の言語を使用しますが、グラフは英語で表示されます。
必要なAzure Cognitive Servicesエンドポイント（または計画されたグラフ）を推奨する必要があります。どのCognitive Servicesエンドポイントを推奨しますか？
A. 翻訳テキスト、コンテンツモデレーター、キーフレーズ抽出
B. 言語検出。感情分析、およびキーフレーズ抽出
C. 翻訳テキスト。感情分析、および名前付きエンティティの認識
D. 言語検出。コンテンツモデレーター、およびキーフレーズ抽出
Answer: B
Explanation:
Explanation
Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea.
Translator Text: Translate text in real time across more than 60 languages, powered by the latest innovations in machine translation.
The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases.
This skill uses the machine learning models provided by Text Analytics in Cognitive Services.
This capability is useful if you need to quickly identify the main talking points in the record. For example, given input text "The food was delicious and there were wonderful staff", the service returns "food" and
"wonderful staff".
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-lin
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases

NEW QUESTION: 3
Which of the following commands can be used to change properties such as the number of node slots or the label of an existing OCFS2 filesystem?
A. o2cbtool
B. crm_edit
C. ocfs2.setprops
D. tunefs.ocfs2
E. ocfs2tool
Answer: D

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