Question 22 of 280
Single answerYou trained a text classification model. You have the following SignatureDefs:
You started a TensorFlow-serving component server and tried to send an HTTP request to get a prediction using:
headers = "content-type": "application/json" json_response = requests.post('http:
//localhost:8501/v1/models/text_model:predict', data=data, headers=headers)
What is the correct way to write the predict request?
You started a TensorFlow-serving component server and tried to send an HTTP request to get a prediction using:
headers = "content-type": "application/json" json_response = requests.post('http:
//localhost:8501/v1/models/text_model:predict', data=data, headers=headers)
What is the correct way to write the predict request?
Adata = json.dumps( signature_name: seving_default, instances [['ab', 'bc', 'cd']] )
Bdata = json.dumps( signature_name: serving_default, instances [['a', 'b', 'c', 'd', 'e', 'f']] )
Cdata = json.dumps( signature_name: serving_default, instances [['a', 'b', 'c'], ['d', 'e', 'f']] )
✓Ddata = json.dumps( signature_name: serving_default, instances [['a', 'b'], ['c', 'd'], ['e', 'f']] )
✓
Correct Answer: D
data = json.dumps( signature_name: serving_default, instances [['a', 'b'], ['c', 'd'], ['e', 'f']] )
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Explanation
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