Which is NOT an advantage associated with moving a Big Data workload to Oracle Cloud Infrastructure (OCI)?

• A.Object Storage as Data Lake
• B.dynamically scale capacity against workload
• C.availability of Oracle Airflow
• D.managed service offerings to support common Big Data workloads
• E.best price / performance for Big Data workloads In the Cloud

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Which two performance metrics can be used to trigger scaling actions In Autoscaling?

• A.Network throughput
• B.Network latency
• C.Disk IOPS
• D.Memory utilization
• E.CPU utilization

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A file system is built using BM.Standard2.52 Compute shape for File Servers. One 25 Gbps NIC/network card is used to connect to 10 Block Volumes of 1TB each (max. 4#0MB/s per volume). The other 25 Gbps NIC is used for sending/receiving data to/from client nodes.
File system client instances which mount the file system are provisioned using VM.Standard2.16 Compute shapes. (Network bandwidth: l6.4Gbps(2050 MB/s)) What is the max IO theoretical throughput a client node can get?

• A.6250 MB/s
• B.4800 MB/s
• C.2050 MB/s
• D.3125 MB/s

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Oracle Cloud infrastructure (OCI) Block Volume Storage supports sharing a Block Volume among multiple compute Instances in read/write or read only shareable mode.
Which two file systems should be used to allow multiple compute Instances to read/write data concurrently without any data loss?

• A.Distributed File Systems like Gluster, OCFS2, GFS2
• B.Linux File Systems like XFS, EXT4, EXT3, etc.
• C.Network File System (NFS)
• D.Parallel File Systems like Lustre, IBM Spectrum Scale(GPFS), BeeGFS, etc.

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