amazon_connect_streaming_flashcards

Question 1

What is a Contact Record in Amazon Connect?

Answer 1

A JSON document that captures the details of a contact interaction including start date/time | customer phone number | queues and agents involved | and contact attributes.

Question 2

When are Contact Records published?

Answer 2

Published at least once when the contact ends. Republished every time additional record information is updated post-record creation (e.g. using UpdateContactAttributes API).

Question 3

What are common use cases for streaming Contact Records?

Answer 3

Storing detailed interaction information for data retention compliance | Streaming interaction data to third-party workforce management or reporting applications.

Question 4

What are Agent Events in Amazon Connect?

Answer 4

Events published via Kinesis Data Streams related to agent availability to handle contacts in the CCP. Includes four events: agent login | agent logout | agent status change | and heartbeat event.

Question 5

What are common use cases for Agent Events?

Answer 5

Creating custom solutions and agent activity dashboards | Building supervisor alerting solutions that send personalized notifications on agent activity.

Question 6

What is Amazon Kinesis Data Streams?

Answer 6

A serverless streaming data service that captures | processes | and stores data streams at any scale. Used for rapid and continuous data intake and aggregation.

Question 7

What is Amazon Data Firehose?

Answer 7

A fully managed service that delivers real-time streaming data to destinations such as Amazon S3 | Amazon Redshift | Amazon OpenSearch Service | and Splunk.

Question 8

What is a Producer in streaming architecture?

Answer 8

Any source that generates and sends payloads to a Kinesis data stream in near real time. An application or service that continuously generates data that needs to be processed.

Question 9

What is a Consumer in streaming architecture?

Answer 9

An application or service that reads and processes the payload from an Amazon Kinesis data stream. Performs operations like filtering | aggregating | transforming | or storing data.

Question 10

What is a Fan-out architecture?

Answer 10

An architecture that distributes incoming payload to multiple outputs or consumers simultaneously. Used when a payload must be processed by multiple independent downstream applications in parallel.

Question 11

What are the benefits of streaming Amazon Connect data?

Answer 11

Custom real-time reports using preferred reporting platforms | Automated actions based on predefined criteria like sentiment scores.

Question 12

What is the one producer one consumer pattern?

Answer 12

Basic data streaming pattern where one producer sends data to Kinesis and one consumer processes the data available in the stream.

Question 13

What does Amazon Data Firehose do in streaming architecture?

Answer 13

Provides the most efficient way to transform and deliver real-time data streams to a destination. Continuously processes the stream | automatically scales | and delivers data in seconds.

Question 14

What data format conversions can Firehose perform?

Answer 14

Can convert input data from JSON to Apache Parquet or Apache ORC before storing in Amazon S3. Can use Lambda to transform other formats (like CSV) to JSON first.

Question 15

What are Amazon Connect Agent Event Streams?

Answer 15

Kinesis data streams that provide near real-time reporting of agent activity. Includes agent login | logout | status changes | and heartbeat events.

Question 16

What is the one producer multiple consumers pattern?

Answer 16

Also called fan-out. Offers flexibility to manage and distribute data from a single source to multiple destinations. Multiple consumers subscribe to one data source and process data concurrently.

Question 17

What is a common use case for fan-out architecture?

Answer 17

Streaming contact records to multiple destinations simultaneously. Example: sending data to both long-term storage (S3 via Firehose) and real-time processing (Lambda for API integration).

Question 18

What encryption does Kinesis Data Streams offer?

Answer 18

Server-side encryption using customer managed keys. Automatically encrypts data in transit before writing to storage layer and decrypts after retrieval from storage.

Question 19

What KMS permission does a Kinesis stream producer need?

Answer 19

kms:GenerateDataKey permission to encrypt data being sent to the stream.

Question 20

What KMS permission does a Kinesis stream consumer need?

Answer 20

kms:Decrypt permission to read and decrypt data from the stream.

Question 21

What role does Amazon Connect use to send records to Kinesis?

Answer 21

Uses the service-linked role of the instance for authorization. This role requires permission to use the KMS key that encrypts the data stream.

Question 22

Kinesis Data Streams vs Firehose: Data processing?

Answer 22

Kinesis Data Streams: Custom data processing using Managed Apache Flink or external processing. Firehose: Basic transformations and format conversions only.

Question 23

Kinesis Data Streams vs Firehose: Management?

Answer 23

Kinesis Data Streams: Requires manual scaling and shard management. Firehose: Fully managed with automatic scaling.

Question 24

Kinesis Data Streams vs Firehose: Data storage?

Answer 24

Kinesis Data Streams: Stores data for 24 hours by default (extendable to 7 days). Firehose: Does not store data | directly delivers to destinations.

Question 25

Kinesis Data Streams vs Firehose: Integration?

Answer 25

Kinesis Data Streams: Requires integration with other AWS services for storage/analytics. Firehose: Integrates directly with S3 | Redshift | OpenSearch for immediate delivery.

Question 26

Kinesis Data Streams vs Firehose: Pricing?

Answer 26

Kinesis Data Streams: Charges based on number of shards and data retention period. Firehose: Charges based on amount of data ingested and transformed.

Question 27

What are typical use cases for Kinesis Data Streams?

Answer 27

Real-time monitoring and analytics | Complex event processing | Aggregating and analyzing high volume of data.

Question 28

What are typical use cases for Amazon Data Firehose?

Answer 28

Streaming log data to S3 for later analysis | Feeding data into Redshift for business intelligence | Sending real-time application logs to OpenSearch for operational insights.

Question 29

When should you choose Kinesis Data Streams over Firehose?

Answer 29

When you need custom data processing | complex event processing | real-time analytics | or control over data retention and processing logic.

Question 30

When should you choose Firehose over Kinesis Data Streams?

Answer 30

When you need straightforward data delivery to destinations | basic transformations only | fully managed solution | or don't need data retention.

Question 31

What is server-side encryption in Kinesis?

Answer 31

Encryption that automatically encrypts data before writing to storage and decrypts after retrieval. Encrypts incoming data only after enabled | preexisting unencrypted data remains unencrypted.

Question 32

What types of data can Amazon Connect export to Kinesis in real time?

Answer 32

Contact records | Agent events | Customer Profiles (when profiles are created or modified).

Question 33

Where do cloud administrators configure data streaming for Amazon Connect?

Answer 33

In the AWS Management Console for the Amazon Connect instance. Requires appropriate permissions to configure.

Question 34

What can developers build with streamed Amazon Connect data?

Answer 34

Consumer applications to process and analyze data in real time. Examples: automatic CRM updates | agent activity dashboards | custom notifications for agent activity.

Question 35

What is Customer Profiles real-time data export?

Answer 35

Automatic export of unified customer profiles to Kinesis Data Streams. Receives data for new profiles and updates to existing profiles in real time.

Question 36

What is a use case for Customer Profiles streaming?

Answer 36

Maintaining CRM systems and marketing automation tools with latest information. Example: agent updates customer address in workspace and change streams to Kinesis in real time.

Question 37

How do you enable Customer Profiles data streaming?

Answer 37

Select Enable data streaming checkbox | choose existing Kinesis data stream or create new one | save settings by choosing Enable data streaming.

Question 38

What role does Lambda play in stream data processing?

Answer 38

Implements data transformation logic for both Kinesis Data Streams and Firehose. Transforms incoming source data before delivering to destinations.

Question 39

What is an example of Lambda transformation on contact records?

Answer 39

Updating contact attribute values based on custom business rules | enhancing records before delivery to downstream applications.

Question 40

What data format conversions can Firehose perform automatically?

Answer 40

Converts JSON to Apache Parquet or Apache ORC before storing in S3. These are columnar data formats that save space and facilitate faster queries.

Question 41

What are Apache Parquet and Apache ORC?

Answer 41

Columnar data formats that save space and facilitate faster queries compared to row-oriented formats like JSON. Performance-oriented and column-based.

Question 42

Why convert JSON to Parquet format?

Answer 42

Parquet is performance-oriented and column-based which optimizes running data queries. Beneficial for dashboards using Amazon QuickSight | Athena | and AWS Glue.

Question 43

How can Lambda help with non-JSON input formats?

Answer 43

Lambda functions can transform input formats like CSV or structured text into JSON format first before Firehose processes them.

Question 44

When can administrators enable Firehose data transformation?

Answer 44

When they create Firehose streams. This allows Lambda functions to transform incoming source data.

Question 45

What are the benefits of streaming Amazon Connect data?

Answer 45

Real-time CRM updates | Agent activity monitoring and dashboards | Custom notifications | Automatic profile synchronization | Real-time analytics and insights.

Question 46

What happens when Firehose invokes Lambda for transformation?

Answer 46

Lambda receives incoming source data | applies transformation logic (like updating values based on business rules) | returns transformed data | Firehose delivers to destinations.

Question 47

What data does Amazon Connect stream using Kinesis Data Streams?

Answer 47

Contact records and agent events. Agent events include agent login | logout | status change | and heartbeat.

Question 48

What is a producer in Kinesis streaming?

Answer 48

Any source that generates and sends payloads to a Kinesis data stream in near real time.

Question 49

What is a consumer in Kinesis streaming?

Answer 49

An application or service that reads and processes payloads from a Kinesis data stream.

Question 50

What is a fan-out data streaming architecture?

Answer 50

Distributes incoming payloads to multiple outputs or consumers simultaneously. Allows concurrent streaming to multiple downstream applications.

Question 51

What is the role of Kinesis in microservice architectures?

Answer 51

Acts as a highly available conduit to stream messages between data producers and data consumers in a scalable and flexible architecture.

Question 52

How do cloud administrators configure Amazon Connect data streaming?

Answer 52

Configure data streaming for Amazon Connect instances in the AWS Management Console.

Question 53

What Customer Profiles capability supports real-time export?

Answer 53

Real-time data export of unified customer profiles to Kinesis Data Streams. Automatically sends new profiles and updates to existing profiles.

Question 54

What two AWS services can Lambda transform data for?

Answer 54

Lambda functions can implement data transformation logic for both Kinesis Data Streams and Firehose.

Question 55

What format conversions does Firehose support before storing in S3?

Answer 55

Converts input data from JSON to Apache Parquet or Apache ORC. Both are columnar formats that save space and enable faster queries.

Question 56

What additional capability does Firehose have for CloudWatch Logs?

Answer 56

Supports decompression for CloudWatch Logs which eliminates the need for additional services or post-processing.

Question 57

What encryption do Kinesis Data Streams and Firehose offer?

Answer 57

Server-side encryption using customer managed keys. Data is encrypted before writing to storage layer and decrypted after retrieval.

Question 58

What permissions does Amazon Connect need to send data via Kinesis?

Answer 58

Amazon Connect instances must have permissions to use customer managed keys for encryption.

Question 59

What role does Amazon Connect use for Kinesis authorization?

Answer 59

Uses the service-linked role of the instance for authorization. This role needs permission to use the AWS KMS key that encrypts the data stream.

Question 60

What are the key requirements for near real-time data processing solutions?

Answer 60

Must follow design patterns that meet scalability and reliability requirements. Microservice-based architectures provide long-term scalability and flexibility.

Question 61

Why implement a fan-out design pattern with Amazon Connect?

Answer 61

Allows concurrent streaming of Amazon Connect data to multiple downstream applications simultaneously. Enables parallel processing by independent systems.