Read CCAC Free Dumps (Part 2, Q41-Q90) Today to Verify the CCAC Dumps (V8.02) – Verify the Latest Materials for Confluent Cloud Certified Operator (CCAC) Exam Prep

You will prepare for your Confluent Cloud Certified Operator (CCAC) certification exam with complete confidence using the latest CCAC dumps (V8.02) from DumpsBase. Our expertly crafted Confluent CCAC exam dumps, with real questions and verified answers, are designed to provide you with accurate, exam-focused study materials that closely mirror the actual exam structure and requirements. You can access quality by reading our CCAC free dumps (Part 1, Q1-Q40) of V8.02 first. With these free demos, you can find that our goal is to make your preparation journey smooth, stress-free, and highly effective, enabling you to streamline your study plan, boost your exam-day confidence, and achieve outstanding results by passing the Confluent CCAC exam successfully on your very first attempt. Today, we are sharing more free demo questions for you to review.

Below are the CCAC free dumps (Part 2, Q41-Q90) of V8.02, helping you check again:

1. Arrange the steps to register and enforce a new schema version.

a) Create updated schema definition

b) Submit schema to Schema Registry

c) Validate compatibility

d) Deploy updated producer

A → C → B → D

D → B → C → A

A → B → C → D

A → B → D → C

2. Which compatibility modes support both backward and forward validation? (Select all that apply.)

FULL

FULL_TRANSITIVE

FORWARD

NONE

3. What happens if a producer attempts to register an incompatible schema?

The schema is accepted silently

A new topic is automatically created

The message is rejected with an error

The schema replaces the old one

4. Which two configuration settings influence Kafka topic retention in Confluent Cloud? (Choose two)

min.insync.replicas

retention.ms

cleanup.policy

replication.factor

5. You observe that consumers are experiencing increased lag.

What is the most likely impact?

Data loss

Consumers read duplicate messages

Consumers take longer to process new messages

Producers are throttled

6. Which two commonly used reset strategies are available to Kafka consumers? (Choose two)

latest

random

earliest

none

7. In the event of broker failure, how does Kafka ensure no data loss?

Caches messages in Zookeeper

Fails over to the schema registry

Elects a new leader from in-sync replicas

Drops incomplete messages

8. Which two are commonly visible internal topics related to consumer tracking and schema management? (Choose two)

__consumer_offsets

_confluent-metrics

__kafka-metadata

_schemas

9. Match each dynamic operation with its primary objective.

Answer Options:

• Increase partitions

• Modify retention

• Add consumers

Match to:

1. Improve parallel processing

2. Control storage lifecycle

3. Increase consumption throughput

Increase partitions → 1 Modify retention → 2 Add consumers → 3

Increase partitions → 2 Modify retention → 1 Add consumers → 3

Increase partitions → 3 Modify retention → 2 Add consumers → 1

Increase partitions → 1 Modify retention → 3 Add consumers → 2

10. Which schema types are supported in Confluent Cloud Schema Registry?

Avro, Protobuf, JSON Schema

XML, CSV, Avro

YAML, Protobuf, CSV

JSON, XML, CSV

11. Which two are valid topic-level configurations in Confluent Cloud? (Choose two)

cleanup.policy

compression.type

schema.enforced

data.retention.days

12. Which configuration is defined at topic creation and cannot be decreased later?

Replication factor

Partition count

Retention period

Cleanup policy

13. Which action should be taken when partitions are unevenly distributed across consumers?

Decrease replication factor

Disable compaction

Increase topic retention

Rebalance consumer group

14. Which of the following are valid compatibility types supported by Confluent Cloud Schema Registry? (Choose two)

RANDOM

BACKWARD

FORWARD

MUTUAL

15. Which configuration controls how long Kafka retains messages before deletion?

cleanup.policy

retention.ms

replica.fetch.max.bytes

num.partitions

16. What is the primary operational reason to increase the number of partitions for a topic?

Improve retention performance

Increase consumer parallelism

Reduce replication traffic

Enable log compaction

17. What happens if you attempt to create a network connection in a region not supported by your selected cloud provider?

It defaults to multi-region

It silently fails

The CLI returns an error

The connection is automatically rerouted

18. Which API is used to extract real-time metrics from Confluent Cloud for integration into observability tools?

Admin API

Metrics API

Kafka Streams API

Monitoring API

19. What authentication mechanisms are supported on Confluent Cloud for client applications? (Select two)

SASL/PLAIN

SSL

SASL/SCRAM

SASL/OAuthBearer

Single Sign-On (SSO)

20. What is the purpose of the “Stream Governance” package in Confluent Cloud?

Enabling Kafka Streams on REST

Automatically deleting unused topics

Providing centralized schema and policy management

Encrypting all message payloads

21. What happens when all consumers in a group are removed?

The topic is deleted

The offsets are deleted immediately

Kafka retains the committed offsets for a configurable retention period

Producers stop sending messages

22. You are asked to deploy resources in Confluent Cloud to import the data from 4 different MySQL databases into a single topic in a Kafka cluster.

Which action would you take?

Deploy 4 fully-managed connectors to import the data into 4 topics (one topic per connector) and then use ksqlDB to merge them into a single topic

Deploy a single fully-managed connector to connect to all 4 databases (since they are all MySQL) and import the data into a single topic

Deploy 4 fully-managed connectors to import the data directly into the same topic

Deploy 4 fully-managed connectors to import the data into 4 topics (one topic per connector) and then use Flink to merge them into a single topic

23. You are a Confluent Cloud administrator. You need to create a cluster using a private network connection to your VPC on AWS.

Which cluster type/s would you consider? (Select two)

Basic cluster

Standard cluster

Enterprise cluster

Dedicated cluster

24. Which component maintains metadata about data flow between topics?

Stream Lineage

Kafka Broker

VPC Peering

RBAC

25. What Kafka feature ensures that message order is preserved within a partition?

Topic replication

Producer batching

Partition affinity

Log compaction

26. When provisioning a Kafka cluster in Confluent Cloud, which factor directly impacts message throughput?

Cluster billing account

Cluster availability zone

Cluster type (Basic, Standard, Dedicated)

Schema compatibility setting

27. Which operational practices help maintain cluster health? (Select all that apply.)

Monitoring under-replicated partitions

Regularly reviewing lag metrics

Increasing retention indefinitely

Ensuring adequate partition distribution

28. Which Kafka component is responsible for tracking offsets in Confluent Cloud?

Kafka Broker

Kafka Consumer

ZooKeeper

Schema Registry

29. You need to provision a stream processing service in Confluent Cloud to enable your development team to join data from topics across multiple Kafka clusters in a specific region.

Which service would you provision?

KsqlDB cluster

Stream Designer Pipeline

Flink Compute Pool

Stream Lineage

30. Which two Confluent Cloud resources generate dynamic metrics for monitoring? (Choose two)

Connect clusters

Environments

Kafka clusters

Consumer groups

31. Match each metric to the scaling decision it supports.

Answer Options:

• Consumer Lag

• BytesInPerSec

• UnderReplicatedPartitions

Match to:

1. Consumer scaling

2. Producer throughput analysis

3. Replication health

Consumer Lag → 1 BytesInPerSec → 2 UnderReplicatedPartitions → 3

Consumer Lag → 2 BytesInPerSec → 1 UnderReplicatedPartitions → 3

Consumer Lag → 1 BytesInPerSec → 3 UnderReplicatedPartitions → 2

Consumer Lag → 3 BytesInPerSec → 2 UnderReplicatedPartitions → 1

32. Which networking options are supported in Confluent Cloud? (Select all that apply.)

VPC Peering

PrivateLink

Direct SSH tunneling

Public Internet

33. Which operational action can be performed without recreating a Confluent Cloud cluster?

Changing cloud provider

Increasing partition count of a topic

Moving cluster to another region

Switching from Basic to Dedicated

34. Match each feature to its corresponding Stream Governance pillar.

Answer Options:

• Schema Registry

• Stream Lineage

• Tags

Match to:

1. Stream Quality

2. Stream Lineage

3. Stream Catalog

Schema Registry → 1 Stream Lineage → 2 Tags → 3

Schema Registry → 1 Stream Lineage → 3 Tags → 2

Schema Registry → 3 Stream Lineage → 2 Tags → 1

Schema Registry → 3 Stream Lineage → 1 Tags → 3

35. Which metric would best indicate load imbalance across topic partitions?

Uneven consumer group lag across partitions

Number of schemas in registry

Disk size of schema registry

Availability zone count

36. Which tool can be used to monitor consumer lag visually in Confluent Cloud?

Kafka Streams UI

Schema Registry

Confluent Cloud UI

Kafka REST Proxy

37. Which two indicators suggest a potential availability issue in Confluent Cloud? (Choose two)

High CPU usage on Schema Registry

Under-replicated partitions

Broker not responding

New schema version available

38. Which two Confluent Cloud features are most essential for implementing RBAC in a multi-team setup? (Choose two)

Audit Logs

Environments

Schema Compatibility Settings

Role Bindings

39. Which two features of Stream Designer allow for end-to-end visibility of pipelines? (Choose two)

Data Quality Score

Graphical topology view

Connector configuration wizard

Real-time flow visualization

40. Which two metrics are critical when monitoring Kafka cluster throughput in Confluent Cloud? (Choose two)

Ingress bytes per second

Schema registry version

Egress bytes per second

Cluster region

41. Match each provisioning choice with its primary impact.

Answer Options:

• Cluster type

• Cloud region

• Networking option

Match to:

1. Isolation and scalability

2. Latency and compliance

3. Public vs private connectivity

Cluster type → 3 Cloud region → 2 Networking option → 1

Cluster type → 2 Cloud region → 1 Networking option → 3

Cluster type → 1 Cloud region → 3 Networking option → 2

Cluster type → 1 Cloud region → 2 Networking option → 3

42. Which CLI command is used to create a new Kafka Connect connector?

confluent connect create

confluent connector create

confluent kafka connect add

confluent kafka plugin load

43. Which scenarios can trigger a partition reassignment? (Select all that apply.)

Scaling cluster capacity

Broker failure

Changing replication factor

Updating retention policy

44. Which two statements accurately describe how producers interact with partitions in Kafka? (Choose two)

Producers send all messages to partition 0 by default

A key ensures messages go to the same partition

Producers manually assign offsets

Partitioning helps achieve parallelism in message delivery

45. In Confluent Cloud, which two components are included in the Stream Governance “Advanced” tier? (Choose two)

Stream Catalog

Audit Logs

Stream Lineage

Connectors

46. Which API key type is required to programmatically manage Confluent Cloud resources via Terraform?

Kafka API Key

Resource API Key

Cloud API Key

Cluster API Key

47. Which two monitoring tools can be integrated with Confluent Cloud Metrics API? (Choose two)

Datadog

New Relic

Grafana

Jenkins

48. Which conditions may impact cluster resilience? (Select all that apply.)

Insufficient replication

Network instability

Schema evolution

Broker resource exhaustion

49. Confluent Cloud Stream Governance is built upon three key strategic pillars:

• Stream Quality

• Stream Lineage

• Stream Catalog

Match each feature of the Confluent Cloud Stream Governance to its corresponding pillar.

50. What is the primary difference between a Basic and a Standard cluster in Confluent Cloud?

Standard clusters support multi-zone deployment

Basic clusters support RBAC

Standard clusters allow unlimited partitions

Basic clusters support private networking

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