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NEW QUESTION: 1

A. Option F
B. Option E
C. Option B
D. Option D
E. Option C
F. Option A
Answer: B,F

NEW QUESTION: 2
Your team needs to build a model that predicts whether images contain a driver's license, passport, or credit card. The data engineering team already built the pipeline and generated a dataset composed of 10,000 images with driver's licenses, 1,000 images with passports, and 1,000 images with credit cards. You now have to train a model with the following label map: ['driversjicense', 'passport', 'credit_card']. Which loss function should you use?
A. Sparse categorical cross-entropy
B. Categorical cross-entropy
C. Binary cross-entropy
D. Categorical hinge
Answer: C

NEW QUESTION: 3
An architect is designing a solution, a key element of which is the capability for fast VMware cluster growth with minimal administrative interaction.
Which HPE solution should the architect recommend?
A. HPE MSA 2040 in combination with VMware auto deploy
B. HPE 3PAR in combination with HPE Storage Automation
C. HPE StoreVirtual VSA combination with HPE Virtual Connect
D. HPE 3PAR in combination with HPE OneView for VMware vCenter
Answer: D

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