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Linux Foundation HFCP Exam Questions
- Topic 1: Fundamentals of Blockchain: It includes sub-topics of Distributed Ledgers, Smart Contracts, and Consensus. The topic also covers Consensus and Business Benefits as well.
- Topic 2: Hyperledger Fabric Networks: The topic covers Network Structure, Transaction Flow, Ordering Service, Peers and World State Storage. Moreover, questions about Network Creation, Membership Service Providers, Maintenance and Operation, and Channel-related Operations also appear. Lastly, the topic delves into Design and Deployment of Production Networks.
- Topic 3: Smart Contracts: It focuses on Design and Implementation, Chaincode Lifecycle, Reading and Modifying the Ledger State, Executing Queries on the Ledger, Private Data and Private Data Collections, and State-based Endorsement Policies.
- Topic 4: Client Applications: This topic discusses Gateway Model, Offline Signing, Peer Gateway Service, and Smart Contract Invocation. It also covers the sub-topic of Chaincode and Block Eventing.
Free Linux Foundation HFCP Exam Actual Questions
Note: Premium Questions for HFCP were last updated On Dec. 08, 2024 (see below)
What is a range query with a start and end key?
In Hyperledger Fabric, a range query with a start and end key is a type of query that searches for all ledger entries whose keys fall within the specified range defined by the startKey and endKey. This is used, for example, to retrieve a subset of assets from the ledger based on their key values, effectively iterating over a specified range .
What do we call the ordering nodes actively participating in the consensus mechanism for a given channel and receiving replicated logs for the channel?
In Hyperledger Fabric, the ordering nodes that are actively participating in the consensus mechanism for a given channel are referred to as the 'Consenter set.' These nodes are part of the ordering service and are responsible for creating blocks by ordering transactions and ensuring consistency across the network. The Consenter set receives the transaction logs that need to be replicated across other orderers and peers in the network. This is distinct from the 'Committer set,' which comprises nodes that commit blocks to their ledger, and 'Endorsers,' which are responsible for endorsing transactions by checking them against the chaincode execution policies.
Which of the following sources provide block events?
In Hyperledger Fabric, block events are provided by peers. Whenever a block is committed to a peer's ledger, that peer generates a corresponding event. These events can include the full block content or a summary of the transactions within the block, allowing applications to register and receive notifications about these events. This setup is crucial for applications that need to respond to changes recorded on the blockchain in real-time .
What is the role of the endorsement policy in the context of Hyperledger Fabric's chaincode?
In the context of Hyperledger Fabric's chaincode, the endorsement policy plays a crucial role in defining the organizations that must sign a transaction proposal before it can be considered valid. This policy specifies which members of the network must agree (endorse) a transaction for it to be executed. The policy can require signatures from one or more specific organizations, depending on the chaincode's business logic and the network's governance requirements. This ensures that transactions are agreed upon by the relevant stakeholders, maintaining the integrity and trust within the network.
When reading and modifying the ledger state in Hyperledger Fabric, what type of schema does the data stored in the ledger need to adhere if the state database is LevelDB?
When using LevelDB as the state database in Hyperledger Fabric, there is no specific schema that the data stored in the ledger needs to adhere to. LevelDB is a key-value store, which does not enforce any schema on the data it holds. This flexibility allows applications to define their own formats and structures for the data they store, which can vary from simple strings and numbers to more complex serialized data structures. This schema-less nature of LevelDB enables developers to implement the data handling that best suits their application's needs without the constraints of a predefined database schema.
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