Question 6 of 60
A customer plans to develop scripts that use the REST API for HPE OneView. However, the customer is concerned about the complexity of the scripts.
Which tool can be used to adopt the HPE OneView REST API quicker?
Answer

Suggested Answer

The suggested answer is C.

The HPE Python library for HPE OneView is specifically designed to make it easier for developers to interact with the HPE OneView REST API. It provides a higher-level abstraction of the API, simplifying the process of writing scripts and reducing the complexity associated with direct REST API calls. This makes it the most suitable tool for adopting the HPE OneView REST API quicker.

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Question 7 of 60
An architect proposes an HPE Moonshot 1500 chassis with m710p cartridges, an HPE Moonshot 45XGc Switch, and an HPE 4-QSFP+Uplink Module. The customer informs the architect that each cartridge requires a redundant 10GbE link.
How should the architect change the proposal?
Answer

Suggested Answer

The suggested answer is C.

To provide redundant 10GbE links, it is necessary to add additional hardware to support the redundancy. Adding another HPE Moonshot 45XGc Switch and 4-QSFP+Uplink Module will provide the needed redundant paths for each cartridge, ensuring that there is an alternative link in case one fails. This setup will meet the requirement for redundancy in the network connectivity for each cartridge.

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Question 8 of 60
An architect is designing an HPE Apollo 6000 solution to support an HPC application that is highly parallel and involves a lot of communication between compute nodes. The architect is choosing the FlexibleLOM options for the compute trays.
Which technology should the architect ensure that the trays support?
Answer

Suggested Answer

The suggested answer is C.

For a highly parallel HPC application involving extensive communication between compute nodes, it is crucial to have low latency and high throughput networking. RDMA over Converged Ethernet (RoCE) supports remote direct memory access over Ethernet, which reduces latency and provides efficient communication between nodes. This capability is essential for such HPC applications to perform optimally.

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Question 9 of 60
A customer needs a server infrastructure update for its Hadoop HBase solution. The HBase maximum dataset size will be 120TB.
To host HBase, the architect is planning three HPE Moonshot 1500 chassis that are fully populated with cartridges. The populated chassis provide the following in total:
✑ 135 processors with 4 2.9GHz cares each
✑ 4. 32TB RAM
✑ 64.8TB local storage on SSDs
Which aspect or the design is under provisioned and is likely to cause performance to be degraded to one-tenth or even one-hundredth of its potential?
Answer

Suggested Answer

The suggested answer is C.

The system has a HBase dataset size requirement of 120TB, but only provides 64.8TB of local storage on SSDs. This indicates a significant under provisioning of storage capacity, which could severely impact performance, as there would not be enough local storage to accommodate the dataset.

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Question 10 of 60
An architect is planning an HPE Moonshot System solution to support a data analytics application. The application uses data mining.
Which type of rack configuration should the architect recommend?
Answer

Suggested Answer

The suggested answer is B.

For a data analytics application that uses data mining, more processing power is required to analyze the data efficiently. HPE Moonshot Systems are designed to handle large-scale data processing and analytics tasks. Therefore, a configuration that has a higher ratio of HPE Moonshot Systems to HPE Apollo 4200 servers, which store the data, would be more appropriate to meet the processing demands of a complex data mining application.

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