Answer:
An online company wants to conduct real-time sentiment analysis about its products from its social media channels using SQL. The solution which has lowest cost and operational burden is as follow:
B. Configure the input stream using Amazon Kinesis Data Streams. Use Amazon Kinesis Data Analytics to write SQL queries against the stream.
Explanation:
- The option A is not correct as this solution doesn't have lowest cost and operational burden as set up a streaming data ingestion application on Amazon EC2 and connect it to a Hadoop cluster for data processing will have more cost and operational burden.
- The lowest cost and operational burden solution is that we configure input stream using Amazon Kinesis Data Streams. We can use Amazon Kinesis Data Analytics to write SQL queries against the stream.
- The option c and d are also more pricey in terms of cost and operational burden as compared to Amazon Kinesis Data stream and analytics.
Answer:
1 Introduce the problem.
2 Explain your perspective.
3 Explain your opponent's perspective. Refute their points one-by-one as you go.
4 Present your evidence.
5 Conclude your argument.
1 Introduce the problem.
2 Explain your opponent's perspective first. ...
3 Explain your perspective.
Explanation:
Answer:What report provides data on how specific sections of a website performed? 100% Correct Answer: Content Drilldown report
Explanation: sorry if it’s wrong
Answer:
There's a parking lot that is 600m² big. The lot must be able to hold at least 3 buses and 10 cars.
Each car takes up 6m² and each bus takes up 30m².
However, there can only be 60 vehicles in the lot at any given time.
The cost to park in the lot is $2.50 per day for cars and $7.50 per day for buses. The lot must make at least $75 each day to break even.
What is a possible car to bus ratio that would allow the lot to make profit?