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NEW QUESTION: 1
A user has created a web application with Auto Scaling. The user is regularly monitoring the application and he observed that the traffic is highest on Thursday and Friday between 8 AM to 6 PM. What is the best solution to handle scaling in this case?
A. Add a new instance manually by 8 AM Thursday and terminate the same by 6 PM Friday
B. Schedule Auto Scaling to scale up by 8 AM Thursday and scale down after 6 PM on Friday
C. Schedule a policy which may scale up every day at 8 AM and scales down by 6 PM
D. Configure a batch process to add a instance by 8 AM and remove it by Friday 6 PM
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Auto Scaling based on a schedule allows the user to scale the application in response to predictable load changes. In this case the load increases by Thursday and decreases by Friday. Thus, the user can setup the scaling activity based on the predictable traffic patterns of the web application using Auto Scaling scale by Schedule.
NEW QUESTION: 2
Ideally, stress testing should be carried out in a:
A. test environment using test data.
B. test environment using live workloads.
C. production environment using live workloads.
D. production environment using test data.
Answer: B
Explanation:
Stress testing is carried out to ensure a system can cope with production workloads. A test environment should always be used to avoid damaging the production environment. Hence, testing should never take place in a production environment (choices Band D), and if only test data is used, there is no certainty that the system was stress tested adequately.
NEW QUESTION: 3
You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible. What should you do?
A. Load data in Cloud Datastore and run a SQL query against it.
B. Create a Hadoop cluster and copy the AVRO file to NDFS by compressing it. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.
C. Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.
D. Create a BigQuery table and load data in BigQuery. Run a SQL query on this table and drop this table after you complete your request.
Answer: C