Explanation:
Using the Google App Engine Cron Service to run the Cloud Dataflow job allows you to automate the execution of the job. By creating a cron job, you can ensure that the Dataflow job is triggered exactly once per day at a specified time. This approach is automated, reliable, and cost-effective. The manual approach (Option B) is error-prone and incurs labor costs, while switching to Dataproc (Option A) or configuring a streaming job (Option D) can be more complex and expensive than necessary.
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You are employed at a manufacturing plant where, at 2:00 AM each day, application log files are consolidated into a single log file. You've developed a Google Cloud Dataflow job that is tasked with processing this consolidated log file. Your objective is to ensure that this processing occurs once daily and in a cost-efficient manner. What steps should you take to achieve this?
A
Change the processing job to use Google Cloud Dataproc instead.
B
Manually start the Cloud Dataflow job each morning when you get into the office.
C
Create a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.
D
Configure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.
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