Spring Boot Multiple Choice Questions (MCQs) and Answers

mvn package

mvn compile

mvn install

mvn deploy

Using an environment variable

Modifying the application.properties directly

Hard-coding in the application

Using the Spring dashboard

To ensure that the application is free from bugs.

To automate the deployment process.

To manage the application's users.

To optimize the application's performance.

Incorrect application properties

Server compatibility issues

Network failures

Insufficient server resources

Check firewall settings and network configuration

Increase the logging level

Decrease application load

Replicate the environment locally

To provide database capabilities

To serve as a messaging system

To handle external API calls

To manage application security

By allowing concurrent processing of messages

By encrypting messages

By storing messages permanently

By validating message integrity

To group similar consumers for load balancing

To provide fault tolerance

To prioritize message consumption

To segregate consumer data

By replicating data across multiple nodes

By using a single active node for data storage

By encrypting all stored data

By using cloud storage exclusively

By using the @Async annotation on the producer method

By setting enable.idempotence=true in the producer configuration

By specifying linger.ms greater than zero

By calling the send() method with a callback

To ensure messages are only processed once, even if sent multiple times

To increase the speed of message delivery

To encrypt messages

To automatically compress messages

The consumer's group configuration

The network connectivity

The topic subscription details

Incorrect consumer settings

By ensuring all messages are sent to the same partition

By increasing the number of consumers

By enabling message encryption

By using a different message key for each message

Nagios

Prometheus

Splunk

New Relic

It serves as an application optimizer.

It is a metrics integration tool.

It enhances code quality.

It manages application configurations.

To configure application properties

To monitor application health and performance metrics

To manage application security

To handle incoming requests

By allowing personalized security protocols

By providing detailed user analytics

By tailoring monitoring to specific application needs

By reducing data redundancy

To measure the response time of methods

To synchronize method executions

To delay method execution

To time database transactions

By using the Counter and Gauge classes from Micrometer

By manually logging metrics data

By using the Spring Boot CLI

By using JMX tools

Reviewing the application logs for errors

Increasing server resources

Changing the metric collection interval

Restarting the server

Ensuring correct Micrometer setup

Expanding the metrics storage capacity

Reducing the metrics collection frequency

Upgrading the application framework

Using hard-coded values in the code

Using external configuration files

Storing configurations in the database

Embedding configurations in the application

To increase the application size

To improve security and performance

To make the application slower

To complicate dependency management

To speed up the development process by enabling automatic restart and live reload

To enhance application security

To compress the application code

To manage application dependencies

By enforcing strong password policies

By providing ready-to-use security configurations

By encrypting all data

By tracking user behavior

To decrease code quality

To automate the build and deployment processes

To reduce developer collaboration

To increase development costs

@Scheduled

@Interval

@FixedRate

@Timer

Using only GET requests for all operations

Using meaningful HTTP verbs and URIs

Using non-standard HTTP status codes

Ignoring statelessness

By ignoring all exceptions

By using a global exception handler

By only logging exceptions to the console

By sending all exceptions to the client

Adding more hardware resources

Increasing the number of application instances

Profiling and identifying bottlenecks

Reducing the amount of logging