HPE2-N68 Sample Questions Answers

SimpliVity 380s

Synergy 380s

Apollo 4200s

Apollo 6500s

By making it easy to install bare metal Kubernetes hosts and clusters, it eliminates the costs of many virtualization licenses.

It embeds all control plane functions in the same host systems that run container workers, reducing hardware costs.

It includes its own container orchestration software so that customers do not have to purchase expensive Kubernetes licenses.

It provides a streamlined solution with fewer components than typical DIY Kubernetes, reducing hardware and operational costs.

It keeps better pace with the latest Kubernetes versions and provides a flexible choice in which versions each cluster runs.

It enables customers to run containerized workloads on-prem while most engineered Kubernetes solutions are cloud only.

It is designed to run stateless and stateful apps while most engineered Kubernetes solutions are optimized for stateful apps only.

It provides a lower TCby using an upfront payment model as opposed to software subscriptions.

Gateway HA must be configured before you enable Platform HA.

The controller and the shadow controller must be on different subnets.

The controller and the gateway must be on the same subnet.

Any virtual clusters that have been created on EPIC workers must be deleted.

MapReduce compresses data that is stored in HDFS.

YARN provides data protection and management for data within HOF5.

MapReduce applications process data that is stored in HDFS.

YARN is a particular type of application intended for in-memory analytics.

Processing and analyzing data quickly

Establishing secure communications

Storing data and ensuring data protection

Making Kubernetes easier to manage

The ML application applies a model to the data and tests the effectiveness of that model.

The ML application gathers data and applies an algorithm to prepare the data for use.

The ML algorithm assesses different datasets and selects the best data for use in later stages.

The ML algorithm processes a dataset and learns to perform a task.

The Max Target sets the desired number of replicas for data; the Min Target sets a replica number at which the fabric still tries to reach the Max Target, but less aggressively.

The Max Target and Min Target work together to set the erasure coding level for data in the volume. C. The Max Target is the total number of blocks and the Min Target is the total minus redundant blocks.

The Max Target sets the desired number of replicas for "hot" (frequently used) data; the Min Target sets the desired number of replicas for "warm" (less frequently used) data.

That the Kubernetes cluster for the tenant is running Kubernetes version 1.18.6 or above

That the Ezmeral ML Ops Installation package was run on the platform and cluster before the tenant was added

That the platform has enough available Ezmeral ML Ops licenses to match the core quota on the tenant

That the Kubernetes cluster for the tenant has both Spark operator and Istio enabled on it