
2023 HPE0-G03 Buch, HPE0-G03 Lernhilfe & Administering HPE GreenLake Cloud Services Fragenkatalog - FreeTorrent

Exam Code: HPE0-G03
Exam Name: Administering HPE GreenLake Cloud Services
Version: V22.75
Q & A: 580 Questions and Answers
HPE0-G03 Free Demo download
About HP HPE0-G03 Exam
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NEW QUESTION: 1
Identify three System Integration types supported by a Business Event System. (Choose three.)
A. messaging hub system integration
B. point-to-point system integration
C. development-based itintegration
D. distributed applications messaging
E. dynamic process integration
Answer: A,B,D
Explanation:
The uses of the Business Event System include:
* System integration messaging hubs(D)--Oracle Workflow with the Business Event System can serve as a messaging hub for complex system integration scenarios. The Event Manager can be used to "hard-wire" routing between systems based on event and originator. Workflow process event activities can be used to model more advanced routing, content-based routing, transformations, error handling, and so on. *Distributed applications messaging(E)--Applications can supply Generate and Receive event message handlers for their business entities. For example, message handlers can be used to implement Master/Copy replication for distributed applications. *Message-based system integration--You can set up subscriptions which cause messages to be sent from one system to another when business events occur. In this way, you can use the Event Manager to implement point-to-point messaging integration.(C) *Business-event based workflow processes--You can develop sophisticated workflow processes that include advanced routing or processing based on the content of business events. *Non-invasive customization of packaged applications-- Analysts can register interesting business events for their internet or intranet applications. Users of those applications can register subscriptions to those events to trigger custom code or workflow processes.
Reference: Oracle Workflow Guide, Managing Business Events
NEW QUESTION: 2
Case Study 1 - Flowlogistic
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market.
Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
* Use their proprietary technology in a real-time inventory-tracking system that indicates the location of their loads
* Perform analytics on all their orders and shipment logs, which contain both structured and unstructured data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
* Databases
8 physical servers in 2 clusters
- SQL Server - user data, inventory, static data
3 physical servers
- Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
* Application servers - customer front end, middleware for order/customs
60 virtual machines across 20 physical servers
- Tomcat - Java services
- Nginx - static content
- Batch servers
* Storage appliances
- iSCSI for virtual machine (VM) hosts
- Fibre Channel storage area network (FC SAN) - SQL server storage
- Network-attached storage (NAS) image storage, logs, backups
* 10 Apache Hadoop /Spark servers
- Core Data Lake
- Data analysis workloads
* 20 miscellaneous servers
- Jenkins, monitoring, bastion hosts,
Business Requirements
* Build a reliable and reproducible environment with scaled panty of production.
* Aggregate data in a centralized Data Lake for analysis
* Use historical data to perform predictive analytics on future shipments
* Accurately track every shipment worldwide using proprietary technology
* Improve business agility and speed of innovation through rapid provisioning of new resources
* Analyze and optimize architecture for performance in the cloud
* Migrate fully to the cloud if all other requirements are met
Technical Requirements
* Handle both streaming and batch data
* Migrate existing Hadoop workloads
* Ensure architecture is scalable and elastic to meet the changing demands of the company.
* Use managed services whenever possible
* Encrypt data flight and at rest
* Connect a VPN between the production data center and cloud environment SEO Statement We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability. Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
A. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
B. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
C. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
D. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
Answer: D
Explanation:
Pub/Sub -> Dataflow for real time processing requirements.
https://codelabs.developers.google.com/codelabs/cpb104-pubsub/#0
NEW QUESTION: 3
If no isolation level is specified, what is the default isolation level used?
A. Cursor Stability (CS) with Currently Committed semantics
B. Cursor Stability (CS)
C. Read Stability (RS) with Currently Committed semantics
D. Repeatable Read (RR)
Answer: B
Explanation:
Explanation/Reference:
Explanation:
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