You work as a machine learning specialist at a hedge fund. You are working on a time-series price prediction model for the firm, and you have set up a data delivery stream using Amazon Kinesis Data Streams. You are creating the data producer application code to take trade data from your trade system and send the trade records to your Kinesis Data Stream. Your python code is structured as follows:
import boto3
import requests
import json
client =boto3.client(‘kinesis’, region_name=’us-east1’)
while True:
 r = requests.get(‘https://trading-applicatio-url’)
 data = json.dumps(r.json())
 client.put_record(
 parameters needed for put_record api call
 )
 ...
Which of the following options are valid put_record request parameters? Select 3. 

Answer options:

A.Data
B.ImplicitHashKey
C.ExplicitHashKey
D.PartitionKeys
E.SequenceNumberForOrdering
F.ShardId

Answers: A, C, and E
Options A, C and E are correct. As documented in the Amazon Kinesis Data Streams API reference guide titled PutRecord, “The request accepts the following data in JSON format: Data, ExplicitHashKey, PartitionKey, SequenceNumberForOrdering, and StreamName”.
Option B is incorrect. There is no ImplicitHashKey request parameter. (See the Amazon Kinesis Data Streams API reference guide titled PutRecord)
 Option D is incorrect. There is no PartitionKeys request parameter. However, there is a PartitionKey request parameter. (See the Amazon Kinesis Data Streams API reference guide titled PutRecord)
Option F is incorrect. There is no ShardId request parameter. However, there is a ShardId response element. (See the Amazon Kinesis Data Streams API reference guide titled PutRecord)
Reference:
Please see the Amazon Kinesis Data Streams developers guide titled Kinesis Data Stream Producers and the Amazon Kinesis Data Streams API reference guide titled PutRecord.