PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #2
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #2: Real Exam Question with Answer & Explanation
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Question
You 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?
Options
- 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']]})
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