Container allocation in Hadoop - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a container in Hadoop YARN?

A container in Hadoop YARN is a resource allocation unit that bundles CPU, memory, and other resources for running a task. It is like a box where your application code runs with the resources it needs.

intermediate

How does YARN decide how many containers to allocate?

YARN allocates containers based on the resource requests from applications and the available cluster resources. It tries to match the requested memory and CPU while balancing the load across nodes.

beginner

What happens if a container request cannot be fulfilled immediately?

If YARN cannot allocate a container right away, the request waits in a queue until resources free up. This ensures fair sharing and efficient use of cluster resources.

intermediate

Why is container allocation important for Hadoop performance?

Proper container allocation ensures tasks get enough resources to run efficiently without wasting cluster capacity. It helps balance workload and speeds up job completion.

beginner

Name two key resources allocated to a container in Hadoop YARN.

Memory (RAM) and CPU (vcores) are the two key resources allocated to a container in Hadoop YARN.

What does a container in Hadoop YARN represent?

A A unit of resource allocation for running tasks

B A physical machine in the cluster

C A data storage block

D A network switch

A container bundles CPU, memory, and other resources to run a task in YARN.

Which resources are typically allocated to a YARN container?

A Disk space and network bandwidth

B GPU and TPU units

C Memory and CPU cores

D User permissions and quotas

YARN containers allocate memory (RAM) and CPU cores (vcores) to run tasks.

If no containers are available, what does YARN do with new container requests?

A Runs the task without resources

B Allocates containers on other clusters

C Rejects the request immediately

D Queues the request until resources free up

YARN queues container requests until resources become available.

Why is container allocation important in Hadoop?

A To ensure tasks run with enough resources and cluster is used efficiently

B To store data permanently

C To manage user accounts

D To monitor network traffic

Proper container allocation balances resource use and improves task performance.

Which component in Hadoop is responsible for container allocation?

A NameNode

B ResourceManager

C DataNode

D JobTracker

The ResourceManager manages container allocation in YARN.

Explain what a container is in Hadoop YARN and why it is important.

Think of a container as a box with CPU and memory for your task.

Describe how YARN handles container requests when resources are limited.

What happens if the cluster is busy and cannot give you a container right away?