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NEW QUESTION: 1
You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.
You have the following data available for model building:
* Video recordings of sporting events
* Transcripts of radio commentary about events
* Logs from related social media feeds captured during sporting events
You need to select an environment for creating the model.
Which environment should you use?
A. Azure Machine Learning Studio
B. Azure HDInsight with Spark MLib
C. Azure Cognitive Services
D. Azure Data Lake Analytics
Answer: C
Explanation:
Azure Cognitive Services expand on Microsoft's evolving portfolio of machine learning APIs and enable developers to easily add cognitive features - such as emotion and video detection; facial, speech, and vision recognition; and speech and language understanding - into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars - Vision, Speech, Language, Search, and Knowledge.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/welcome

NEW QUESTION: 2
What is the impact of setting the profile option INV:
Override Neg for Backflush = Yes?
A. It would not allow inventory to be driven negative.
B. Backflush transactions would drive inventory negative.
C. Backflush and inventory transactions would not drive inventory negative.
D. It would permit the driving of on-hand inventory negative for miscellaneous issue transactions.
E. Backflush and inventory transactions would drive inventory negative.
F. Backflush transactions would not drive inventory negative.
Answer: B

NEW QUESTION: 3
Identify the CDISC model with the following characteristics:
* XML-based content and format standard
* facilitates the archive and interchange of the metadata and data for clinical research
* provides an accurate audit trail that is 21 CRF Part II compliant
A. Trial Design Model (TDM)
B. Study Data Tabulation Model (SDTM)
C. Operational Data Model (ODM)
D. Analysis Data Model (ADaM)
Answer: C