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NEW QUESTION: 1
Telling learners at the beginning of the event how their learning will be assessed (i.e. how mastery is determined) is an example of_________.
A. confidentiality
B. setting expectations
C. privacy
D. formative evaluation
Answer: B
NEW QUESTION: 2
Your client is a 59 year old sedentary female with a body mass index of 33 kg/m2. She has no history of heart disease herself, but her mother had a myocardial infarction at the age of 66. She is an ex-smoker who quit 15 years ago, blood pressure is consistently 135/85 mm Hg, total cholesterol is 180 mg/dL (4.6 mmol/L) with an HDL level of 30 mg/dL (0.8 mmol/L), and blood glucose is 100 mg/dL (5.6 mmol/L). She has come to you for advice because she wishes to improve her overall health and fitness.
How many risk factor thresholds for coronary artery disease does this client possess?
A. Five
B. Four
C. Three
D. Two
Answer: C
NEW QUESTION: 3
スタートアップ企業は、冷凍食品を運ぶ車両を輸送するために装備されたIOTデバイスによって送信されたデータを処理するためのソリューションを探しています。データはリアルタイムで消費および処理されます。処理されたデータは、OCI Object Storageバケットにアーカイブする必要があります。 Autonomous Data Warehouse（ADW）を使用して分析を処理します。
この要件を満たすのに役立つアーキテクチャはどれですか？
A. OCIオブジェクトストレージバケットを作成して、スマートペットの首輪から受信した生体認証データを収集しますデータホーンOC \オブジェクトストレージを毎日OCI Autonomous Data Warehouse（ADW）にフェッチし、それを使用して分析ジョブを実行します
B. OCIストリーミングサービスを使用して、受信した生体認証データを収集します。 Oracle Functionsを使用して日付を処理し、結果をリアルタイムダッシュボードに表示し、結果をOCIオブジェクトストレージに格納します。データをOCI Autonomous Data Warehouse（ADW）に格納して分析を処理します。
C. オープンソースのHadoopクラスターを起動して受信バイオメトリクスデータを収集するオープンソースのFluentdクラスターを使用して結果を分析し、結果をOCI Autonomous Transaction Processing（ADW）に分析して複雑な分析を処理する
D. OCIストリーミングサービスを使用して、受信した生体認証データを収集します。オープンソースのHadoopクラスターを使用して、データホーンストリーミングサービスを分析します。複雑な分析を処理するために結果をOCI Autonomous Data Warehouse（ADW）に保存します
Answer: B
Explanation:
Real-time processing of high-volume streams of data
- OCI Streaming service provides a fully managed, scalable, durable storage option for continuous, highvolume streams of data that you can consume and process in real-time
- Use cases
Log and Event data collection
Web/Mobile activity data ingestion
IoT Data streaming for processing and alerts
Messaging: use streaming to decouple components of large systems
- Oracle managed service with REST APIs (Create, Put, Get, Delete)
- Integrated Monitoring
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a new experiment in Azure Machine Learning Studio.
One class has a much smaller number of observations than tin- other classes in the training set.
You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Principal Components Analysis (PCA) sampling mode.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
