____ is a tool in Hadoop used for diagnosing network topology and speed between nodes in HDFS.
- DataNode
- Hadoop Diagnostics Tool (HDT)
- NameNode
- ResourceManager
The Hadoop Diagnostics Tool (HDT) is used for diagnosing network topology and speed between nodes in HDFS. It helps administrators identify potential issues related to network performance and data transfer within the Hadoop cluster.
The ____ command in HDFS is used to add or remove data nodes dynamically.
- hdfs datanodeadmin
- hdfs dfsadmin
- hdfs nodecontrol
- hdfs nodemanage
The hdfs dfsadmin command in HDFS is used to add or remove data nodes dynamically. It provides administrative functions for managing the Hadoop Distributed File System, including the addition or decommissioning of data nodes.
____ in Hadoop clusters helps in identifying bottlenecks and optimizing resource allocation.
- HDFS
- MapReduce
- Spark
- YARN
YARN (Yet Another Resource Negotiator) in Hadoop clusters helps in identifying bottlenecks and optimizing resource allocation. It manages and allocates resources efficiently, allowing various applications to run simultaneously on the cluster.
What can you achieve by using JIRA Automation Rules?
- Customize the JIRA user interface
- Manage user permissions
- Modify JIRA's core functionalities
- Streamline repetitive tasks
By using JIRA Automation Rules, you can streamline repetitive tasks. These rules allow you to automate various actions within JIRA, such as assigning issues, updating fields, and sending notifications, based on predefined conditions. This helps in improving efficiency and reducing manual effort.
Scenario: You are a JIRA administrator, and your team has decided to reassign a large number of issues from one project to another. Which Bulk Operation would you use, and how would you approach this task?
- Move Issues, and you would navigate to the desired project and select "Bulk Change" from the "Tools" menu.
- Clone Issues, and you would create duplicates of the issues and manually move them to the desired project.
- Edit Issues, and you would manually change the project field for each issue.
- Delete Issues, and you would delete the issues from the current project and recreate them in the desired project.
The correct option is to use "Move Issues" as the Bulk Operation. By selecting "Bulk Change" from the "Tools" menu, you can choose the issues you want to move and specify the target project. This operation efficiently transfers a large number of issues from one project to another without the need for manual intervention.
You are designing a workflow for a software development project. What best practices should you consider to ensure efficient issue tracking and management within the team?
- Allow for customization of workflows for different issue types
- Define clear roles and responsibilities for workflow steps
- Implement automated notifications for issue updates
- Utilize clear issue types and statuses
Defining clear roles and responsibilities for each step in the workflow ensures accountability and prevents confusion, leading to efficient issue tracking and management. This helps team members understand their responsibilities and reduces the likelihood of tasks falling through the cracks.
Oozie workflows are based on which type of programming model?
- Declarative Programming
- Functional Programming
- Object-Oriented Programming
- Procedural Programming
Oozie workflows are based on a declarative programming model. In a declarative approach, users specify what needs to be done and define the desired state, and Oozie takes care of coordinating the execution of tasks to achieve that state.
Which language is primarily used for writing MapReduce jobs in Hadoop's native implementation?
- C++
- Java
- Python
- Scala
Java is primarily used for writing MapReduce jobs in Hadoop's native implementation. Hadoop's MapReduce framework is implemented in Java, making it the language of choice for developing MapReduce applications in the Hadoop ecosystem.
In Hadoop, what is the impact of the heartbeat signal between DataNode and NameNode?
- Data Block Replication
- DataNode Health Check
- Job Scheduling
- Load Balancing
The heartbeat signal between DataNode and NameNode serves as a health check for DataNodes. It allows the NameNode to verify the availability and health status of each DataNode in the cluster. If a DataNode fails to send a heartbeat within a specified time, it is considered dead or unreachable, and the NameNode initiates the block replication process to maintain data availability.
In MapReduce, the ____ phase involves sorting and merging the intermediate data from mappers.
- Combine
- Merge
- Partition
- Shuffle
In MapReduce, the Shuffle phase involves sorting and merging the intermediate data from mappers before sending it to the Reducer. This phase is critical for optimizing data transfer and reducing network overhead.