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NEW QUESTION: 1
Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter. You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change.
Which product should you use?
A. Google Container Engine
B. Google Cloud Dataflow
C. Google Cloud Dataproc
D. Google Compute Engine
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO.
References: https://cloud.google.com/dataproc/docs/resources/faq
NEW QUESTION: 2
In the review of the current state of a business application, which three statements are true? (Choose three.)
A. A weekly full backup and incremental every 2 hours meets an RPO of 2 hours.
B. Separation of duties can be implemented using Role Based Access Controls (RBAC).
C. A virtual machine can be scaled up more quickly than a bare metal server.
D. Average latency should be monitored to ensure that application transactions never exceed 5 milliseconds.
E. Application outages caused by known issues in the software do NOT count against the 99.9% SLA.
Answer: B,D,E
NEW QUESTION: 3
A. CA1
B. FS1
C. SQL1
D. DC1
Answer: C
NEW QUESTION: 4
Which tool can be used to check that a given HPE 3PAR StoreServ configuration is supported an s SAN?
A. HPE SPOCK
B. HPE Storage Sizing tool
C. HPE Product Bulletin
D. HPE Sales Builder for Windows
Answer: A
Explanation:
Explanation/Reference:
Explanation: