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Flashcards

AWS Certified Cloud Practitioner (Part II)

Aleksandra Nadzieja English 74 cards

AWS Certified Cloud Practitioner (Part II)

Cards in this deck (74)

  1. 1BIG DATA~
  2. 2Big DataA term used to describe massive volumes of structured/unstructured data that is so large it's difficult to move and process using traditional database and software techniques.
  3. 3Amazon AthenaAn interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. It can take a bunch of CSV or JSON files in the S3 bucket and load them into temporary SQL tables, so it's possible to run SQL queries.
    Athena SQL and Apache Spark on Amazon Athena are serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run. Athena scales automatically—running queries in parallel—so results are fast, even with large datasets and complex queries.
  4. 4Amazon OpenSearchOpenSearch is a fully open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and clickstream analysis. Amazon OpenSearch Service provisions all the resources for your OpenSearch cluster and launches it.
  5. 5Amazon EMRAmazon EMR, which was previously called Amazon Elastic MapReduce, is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data. Using these frameworks and related open-source projects, you can process data for analytics purposes and business intelligence workloads. Amazon EMR also lets you transform and move large amounts of data into and out of other AWS data stores and databases, such as Amazon S3 and Amazon DynamoDB.
  6. 6Amazon KinesisAmazon Kinesis makes it easy to collect, process, and analyze video and data streams in real time.
    1. Use Kinesis Video Streams to capture, process, and store video streams for analytics and machine learning.
    2. Use Kinesis Data Streams to build custom applications that analyze data streams using popular stream processing frameworks.
    3. Use Kinesis Data Firehose to load data streams into AWS data stores.
    4. Use Kinesis Data Analytics to analyze data streams with SQL.
  7. 7RedshiftA petabyte-size managed data-warehousing service. Optimized for online analytical processing (OLAP) and big data analytics. Allows to run a very complex query on a large amount of data and get that data back very fast. Uses columnar storage for fast query performance.
    When you want to quickly generate analytics or reports from a large amount of data.
  8. 8Amazon Quick SightQuick Sight is a cloud-scale business intelligence (BI) service that you can use to deliver easy-to-understand insights to the people who you work with, wherever they are.
    You can use it to create business dashboards to power bussiness decisions. Additionally, you can connect and ingest it to many different types of databases.
  9. 9AWS GlueServerless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources.
    With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.
  10. 10AWS Lake FormationHelps you centrally govern, secure, and globally share data for analytics and machine learning. With Lake Formation, you can manage fine-grained access control for your data lake data on Amazon S3 and its metadata in AWS Glue Data Catalog.
    A data lake is a storage repository that holds a vast amount of raw data in its native format until it's needed.
  11. 11AWS Data ExchangeA catalogue of third-party datasets. You can download, subscribe to, or purchase datasets. As a data receiver, you can track and manage all of your data grants and AWS Marketplace data subscriptions in one place. When you have access to an AWS Data Exchange data set, you can use compatible AWS or partner analytics and machine learning to extract insights from it.
  12. 12AWS WELL-ARCHITECTED FRAMEWROK~
  13. 13AWS Well-Architected FrameworkThe AWS Well-Architected Framework helps you understand the pros and cons of decisions you make while building systems on AWS. By using the Framework you will learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.
    6 sections, called pilars, which address different aspects that can be applied to a cloud workload:
    1. Operational Excellence: Run and monitor systems.
    2. Security: Mitigate risks by protecting data and systems.
    3. Reliability: Mitigate and recover from disruptions.
    4. Performance Efficiency: Use computing resources effectively.
    5. Cost Optimization: Get the lowest price.
    6. Sustainability: Focuses on environmental impacts, especially energy consumption and efficiency.
  14. 14General Guiding Principles- Stop guessing capacity needs.
    - Test systems at production scale.
    - Automate to make architectural experimentation easier.
    - Allow for evolutionary architectures based on changing requirements.
    - Drive architectures using data.
    - Improve through game days by simulating traffic on production.
  15. 15Operational ExcellenceA commitment to build software correctly while consistently delivering a great customer experience. The operational excellence pillar contains best practices for organizing your team, designing your workload, operating it at scale, and evolving it over time.
    Design principles for operational excellence in the cloud:
    1. Organize teams around business outcomes.
    2. Implement observability for actionable insights.
    3. Safely automate where possible.
    4. Make frequent, small, reversible changes.
    5. Refine operations procedures frequently.
    6. Anticipate failure.
    7. Learn from all operational events and metrics.
    8. Use managed services.
  16. 16SecurityEncompasses the ability to protect data, systems, and assets to take advantage of cloud technologies to improve your security.
    Principles that can help you strengthen your workload security:
    1. Implement a strong identity foundation.
    2. Maintain traceability.
    3. Apply security at all layers.
    4. Automate security best practices.
    5. Protect data in transit and at rest.
    6. Keep people away from data.
    7. Prepare for security events.
  17. 17ReliabilityEncompasses the ability of a workload to perform its intended function correctly and consistently when it’s expected to. This includes the ability to operate and test the workload through its total lifecycle.
    There are five design principles for reliability in the cloud:
    1. Automatically recover from failure.
    2. Test recovery procedures.
    3. Scale horizontally to increase aggregate workload availability.
    4. Stop guessing capacity.
    5. Manage change through automation.
  18. 18Performance EfficiencyIncludes the ability to use cloud resources efficiently to meet performance requirements, and to maintain that efficiency as demand changes and technologies evolve.
    There are five design principles for performance efficiency in the cloud:
    1. Democratize advanced technologies.
    2. Go global in minutes.
    3. Use serverless architectures.
    4. Experiment more often.
    5. Consider mechanical sympathy.
  19. 19Cost OptimizationIncludes the ability to run systems to deliver business value at the lowest price point.
    There are five design principles for cost optimization in the cloud:
    1. Implement Cloud Financial Management.
    2. Adopt a consumption model.
    3. Measure overall efficiency.
    4. Stop spending money on undifferentiated heavy lifting.
    5. Analyze and attribute expenditure.
  20. 20SustainabilityFocuses on environmental impacts, especially energy consumption and efficiency, since they are important levers for architects to inform direct action to reduce resource usage.
    There are six design principles for sustainability in the cloud:
    1. Understand your impact.
    2. Establish sustainability goals.
    3. Maximize utilization.
    4. Anticipate and adopt new, more efficient hardware and software offerings.
    5. Use managed services.
    6. Reduce the downstream impact of your cloud workloads.
  21. 21AWS Well-Architected ToolA service in the cloud that provides a consistent process for measuring your architecture using AWS best practices. It's an auditing tool to be used to asset the cloud workloads for alignment with the AWS Well-Architected Framework. Essentially, it's a checklist, with nearby references to help you assemble a report to share with executives and key stake-holders.
  22. 22TCO AND MIGRATION~
  23. 23Total Cost of Ownership (TCO)A financial estimate intended to help buyeres and owners determine the direct and indirect costs of a product or service.
    Creating a TCO report is useful when your company is looking to migrate from on-premise to cloud.
  24. 24AWS Pricing CalculatorA free web-based planning tool that you can use to create cost estimates for using AWS services. AWS Pricing Calculator generates an estimate that includes the upfront, monthly, annual costs. You can use the estimate to make an informed decision before using AWS services. The tool is useful for those who never used AWS before, and for those who want to reorganize or expand their AWS usage.
    To calculate Total Cost of Ownership an organization needs to compare their existing cost against the AWS costs. The AWS Pricing Calculator can be used to determine that cost.
  25. 25AWS Migration EvaluatorAn estimate tool used to determine the costs of an organization existing on-premise, so it can compare it against AWS costs for planned cloud migration.
    The Migration Evaluator is a migration assessment service that helps you create a business case for AWS Cloud planning and migration. It does this with a data driven approach, analyzing your current state, target state, and developing a migration readiness plan with projected cloud costs.
    Migration Evaluator uses an Agentless Collector to collect data from your on-premise infrastructure to extract your on-premise costs.
  26. 26AWS Database Migration Service (DMS)A cloud service that makes it possible to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use AWS DMS to migrate your data into the AWS Cloud or between combinations of cloud and on-premises setups.
  27. 27AWS Schema Conversion ToolUsed in many cases to automatically convert a source database schema to a target database schema.
  28. 28AWS Cloud Adoption FrameworkA whitepaper to help you plan your migration from on-premise to AWS. It leverages AWS experience and best practices to help you digitally transform and accelerate your business outcomes through innovative use of AWS. Use the AWS CAF to identify and prioritize transformation opportunities, evaluate and improve your cloud readiness, and iteratively evolve your transformation roadmap.
  29. 29BILLING, PRICING, AND SUPPORT~
  30. 30AWS Support PlansEach plan builds onto the previous one, adding more advanced tools, personalized support, and faster response times to help you get the most out of your AWS experience.AWS Support Plans
  31. 31Consolidated BillingAWS Organizations provides consolidated billing so that you can track the combined costs of all the member accounts in your organization. You can use Cost Explorer to visualize usage for consolidated billing. Additionally, you can combine the usage across all accounts in the organization to share the volume pricing discounts.
  32. 32AWS Trusted AdvisorInspects your AWS environment, and then makes recommendations when opportunities exist to save money, improve system availability and performance, or help close security gaps.
    The 5 categories of AWS Trusted Advisor:
    1. Cost Optimization
    2. Performance
    3. Security
    4. Fault Tolerance
    5. Service Limits
    6. Operational Excellence
  33. 33AWS Health DashboardYou can use the AWS Health Dashboard to view the health of all AWS services. The dashboard also provides alerts and guidance for AWS events that might affect your environment. It also shows proactive notifications so you can plan for scheduled activities.
  34. 34AWS AbuseYou can report suspected AWS resources used for abusive or illegal purposes to the AWS Trust & Safety team that specifically deals with abuses occurring on the AWS platform for the following issues:
    - Spam – receiving undesired emails from AWS-owned IP address, websites & forums spammed by AWS resources.
    - Port scanning – sending packets to your ports to discover the unsecured ones.
    - DoS or DDoS attacks – AWS-owned IP addresses attempting to overwhelm or crash your servers/softwares.
    - Intrusion attempts – logging in on your resources.
    - Hosting objectionable or copyrighted content – distributing illegal or copyrighted content without consent.
    - Distributing malware – AWS resources distributing software to harm computers or machines.
  35. 35AWS Partner Network (APN)Is a global partner program for AWS. Joining the APN will open your organization up to business opportunities and allows exclucive trainings and marketing events.
    When joining the APN you can either be a:
    - Consulting Partner: Help companies utilize AWS.
    - Technology Partner: Build technology on top of AWS as a service offering.
  36. 36AWS BudgetsYou can use AWS Budgets to track and take action on your AWS costs and usage. You can use AWS Budgets to monitor your aggregate utilization and coverage metrics for your Reserved Instances (RIs) or Savings Plans. It gives you the ability to setup alerts if you exceed or are aproaching a defined budget. We recognize 3 types of budgets: Usage, Cost, Reservation.
  37. 37Cost Allocation TagsAre optional metadata that can be attached to AWS resource, so that when you generate a Cost and Usage Report you can use them to better analyze your data.
  38. 38Billing AlarmsYou can create your own alarms on CloudWatch Alarms to monitor the spending. They are commonly called "Billing Alarms". To create such an alarm, while creating a CloudWatch Alarm, you need to choose "Billing" as the metric.
    Billing Alarms are much more flexible than AWS Budgets and ideal for more complex use-cases for monitoring spend and usage.
  39. 39AWS Cost ExplorerHelps you manage costs by providing a view of your AWS resource costs and usage over time. This way you can visualize, understand, and manage your AWS costs and usage. You can also use forecasting to get an idea of future costs.
  40. 40AWS Pricing APIWith AWS you can programmatically access pricing information to get the latest price offering for a service.
    You can also subscribe to Amazon SNS notifications to get alerts when prices for the services change.
    AWS prices change periodically, such as when AWS cuts prices, when new instances are launched, or when new services are introduced.
  41. 41SECURITY~
  42. 42AWS ArtifactProvides on-demand downloads of AWS security and compliance documents. For example, reports on compliance with International Organization for Standardization (ISO) standards. You can use these documents to support security controls and compliance requirements.
    It also allows you to review, accept, and track the status of AWS agreements such as the Health Insurance Portability and Accountability Act (HIPAA) for an individual account or in your organization.
  43. 43Amazon InspectorAmazon Inspector is a vulnerability management service that automatically discovers workloads and continually scans them for software vulnerabilities and unintended network exposure. When Amazon Inspector detects a software vulnerability or unintended network exposure, it creates a finding, which is a detailed report about the issue. You can manage findings in the Amazon Inspector console or API.
  44. 44AWS ShieldProtection against Distributed Denial of Service (DDoS) attacks is of primary importance for your internet-facing applications. When you build your application on AWS, you receive automatic protection by AWS against common volumetric DDoS attack vectors, at no additional cost. Additionally, you can use the AWS Shield Advanced managed threat protection service to improve your security posture with additional DDoS detection, mitigation, and response capabilities.
  45. 45Amazon GuardDutyA threat detection service that continuously monitors for malicious activity and unauthorized behaviour within an AWS environment. It combines machine learning, anomaly detection, and integrated threat intelligence to identify potential threats.
    Amazon GuardDuty monitors the following:
    1. AWS CloudTrail Logs: Amazon GuardDuty monitors API activity across AWS account to detect suspicious API calls, unauthorized deployments, and unauthorized access attempts to resources. Amazon GuardDuty identifies attempts to access AWS services from unauthorized IP addresses or regions. Amazon GuardDuty detects unusual behaviour in Identity and Access Management (IAM) users, roles, and policies, such as privilege escalation.
    2. VPC Flow Logs: Amazon GuardDuty analyses network traffic within a Virtual Private Cloud (VPC) to detect unexpected traffic patterns, data exfiltration attempts, or unauthorized access alongside identifying communications between AWS resources and known malicious IP addresses or domains.
    3. DNS Logs: Compromised EC2 instances sending encoded data within DNS queries.
  46. 46AWS Virtual Private Network (VPN)Provides secure, private connections between your on-premises networks, remote users, and the AWS cloud, primarily through two services: AWS Site-to-Site VPN for connecting data centers and offices, and AWS Client VPN for remote workforce access, both using encrypted IPsec tunnels to extend your network into a VPC.
  47. 47Amazon MacieA data security service that discovers sensitive data by using machine learning and pattern matching to analyze CloudTrail logs, provides visibility into data security risks, and enables automated protection against those risks.
    It's a fully managed service that continuously monitors S3 data access activity for anomalies, and generates detailed alerts when it detects risk of unauthorized access or inadvertent data leaks.
  48. 48AWS Web Application Firewall (WAF)A web application firewall that lets you monitor the HTTP(S) requests that are forwarded to your protected web application resources.
    AWS WAF lets you control access to your content. Based on criteria that you specify, such as the IP addresses that requests originate from or the values of query strings, the service associated with your protected resource responds to requests either with the requested content, with an HTTP 403 status code (Forbidden), or with a custom response.
  49. 49AWS Key Management Service (KMS)AWS managed service that makes it easy for you to create and control the keys used to encrypt and sign your data. The AWS KMS keys that you create in AWS KMS are protected by FIPS 140-3 Security Level 3 validated hardware security modules (HSM). They never leave AWS KMS unencrypted. To use or manage your KMS keys, you interact with AWS KMS.
    When you encrypt data, you need to protect your encryption key. If you encrypt your key, you need to protect its encryption key. Eventually, you must protect the highest level encryption key (known as a root key) in the hierarchy that protects your data. That's where AWS KMS comes in.
  50. 50AWS CloudHSMCombines the benefits of the AWS cloud with the security of hardware security modules (HSMs). A hardware security module (HSM) is a computing device that processes cryptographic operations and provides secure storage for cryptographic keys. With AWS CloudHSM, you have complete control over high availability HSMs that are in the AWS Cloud, have low-latency access, and a secure root of trust that automates HSM management (including backups, provisioning, configuration, and maintenance).
  51. 51ARTIFICIAL INTELLIGENCE~
  52. 52Amazon SageMaker AIFully managed machine learning (ML) service. With SageMaker AI, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. With built-in support for bring-your-own-algorithms and frameworks, SageMaker AI offers flexible distributed training options that adjust to your specific workflows.
  53. 53Amazon SageMaker Ground TruthTo train a machine learning model, you need a large, high-quality, labeled dataset. Ground Truth helps you build high-quality training datasets for your machine learning models. With Ground Truth, you can use workers from either Amazon Mechanical Turk, a vendor company that you choose, or an internal, private workforce along with machine learning to enable you to create a labeled dataset. You can use the labeled dataset output from Ground Truth to train your own models. You can also use the output as a training dataset for an Amazon SageMaker AI model.
    Depending on your ML application, you can choose from one of the Ground Truth built-in task types to have workers generate specific types of labels for your data. You can also build a custom labeling workflow to provide your own UI and tools to workers labeling your data.
  54. 54Amazon Augmented AI (A2I)When you use AI applications such as Amazon Rekognition, Amazon Textract, or your custom machine learning (ML) models, you can use Amazon Augmented AI to get human review of low-confidence predictions or random prediction samples. For example, extracting information from scanned mortgage application forms can require human review due to low-quality scans or poor handwriting. Using Amazon A2I, you can allow human reviewers to step in when a model is unable to make a high-confidence prediction or to audit its predictions on an ongoing basis.
  55. 55Amazon CodeGuruAmazon CodeGuru Reviewer is a service that uses program analysis and machine learning to detect potential defects that are difficult for developers to find and offers suggestions for improving your Java and Python code. By proactively detecting code defects, CodeGuru Reviewer can provide guidelines for addressing them and implementing best practices to improve the overall quality and maintainability of your code base during the code review stage.
    Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization.
  56. 56Amazon Lex V2An AWS service for building conversational interfaces for applications using voice and text. Amazon Lex V2 provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
    Amazon Lex V2 enables any developer to build conversational chatbots quickly. With Amazon Lex V2, no deep learning expertise is necessary—to create a chatbot, you specify the basic conversation flow in the Amazon Lex V2 console. Amazon Lex V2 manages the dialog and dynamically adjusts the responses in the conversation.
  57. 57Amazon PersonalizeFully managed machine learning service that uses your data to generate item recommendations for your users. It can also generate user segments based on the users' affinity for certain items or item metadata.
    For most use cases, Amazon Personalize generates recommendations primarily based on item interaction data. Item interaction data comes from your users interacting with items in your catalog. For example, users clicking different items.
  58. 58Amazon PollyCloud service that converts text into lifelike speech. You can use Amazon Polly to develop applications that increase engagement and accessibility. Amazon Polly supports multiple languages and includes a variety of lifelike voices.
  59. 59Amazon RekognitionAmazon Rekognition is a cloud-based image and video analysis service that makes it easy to add advanced computer vision capabilities to your applications. You can add features that detect objects, text, unsafe content, analyze images/videos, and compare faces to your application using Rekognition's APIs.
  60. 60Amazon TranscribeAn automatic speech recognition service that uses machine learning models to convert audio to text. You can transcribe media in real time (streaming) or you can transcribe media files located in an Amazon S3 bucket (batch).
  61. 61Amazon TextractHelps you add document text detection and analysis to your applications. You can detect typed and handwritten text in a variety of documents, including financial reports, medical records, and tax forms.
  62. 62Amazon TranslateA text translation service that uses advanced machine learning technologies to provide high-quality translation on demand. You can use Amazon Translate to translate unstructured text documents or to build applications that work in multiple languages.
  63. 63Amazon ComprehendUses natural language processing (NLP) to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents. For example, using Amazon Comprehend you can search social networking feeds for mentions of products or scan an entire document repository for key phrases.
  64. 64Amazon ForecastFully managed service that uses statistical and machine learning algorithms to deliver highly accurate time-series forecasts based on historical data.
    Time-series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. You can also use Forecast to predict domain-specific metrics for your inventory, workforce, web traffic, server capacity, and finances.
  65. 65Amazon KendraA managed information retrieval and intelligent search service that uses natural language processing and advanced deep learning model. Unlike traditional keyword-based search, Amazon Kendra uses semantic and contextual similarity—and ranking capabilities—to decide whether a text chunk or document is relevant to a retrieval query.
    With Amazon Kendra, you can create a unified search and retrieval experience by connecting multiple data repositories to an index and ingesting and crawling documents. You can use your document metadata to create a feature-rich and customized search experience for your users, helping them efficiently find the right answers to their queries.
    Amazon Kendra offers a GenAI index that's highly accurate for retrieval augmented generation (RAG) as well as enterprise search on your data.
  66. 66AWS Deep Learning Amazon Machine Images (DLAMIs)Provide customized machine images that you can use for deep learning in the cloud. The DLAMIs are available in most Regions for a variety of EC2 instance types, from a small CPU-only instance to the latest high-powered multi-GPU instances. The DLAMIs come preconfigured with NVIDIA CUDA and NVIDIA cuDNN and the latest releases of the most popular deep learning frameworks.
  67. 67AWS Deep Learning ContainersPre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS. They provide a consistent, up-to-date, secure, and optimized runtime environment for your deep learning applications hosted on AWS infrastructure.
  68. 68Amazon BedrockFully managed service that makes high-performing foundation models (FMs) from leading AI companies and Amazon available for your use through a unified API. You can choose from a wide range of foundation models to find the model that is best suited for your use case. Amazon Bedrock also offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
    Simply, it's a Large Language Model (LLM) cloud service offering text generation and image responses. Similar to ChatGPT.
  69. 69Amazon Q BusinessPowered by Amazon Bedrock, a fully managed, generative-AI powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. It allows end users to receive immediate, permissions-aware responses from enterprise data sources with citations, for use cases such as IT, HR, and benefits help desks.
    Amazon Q Business also helps streamline tasks and accelerate problem solving. You can use Amazon Q Business to create and share task automation applications, or perform routine actions like submitting time-off requests and sending meeting invites.
  70. 70Amazon Q DeveloperPowered by Amazon Bedrock, a generative artificial intelligence (AI) powered conversational assistant that can help you understand, build, extend, and operate AWS applications. You can ask questions about AWS architecture, your AWS resources, best practices, documentation, support, and more.
    When used in an integrated development environment (IDE), Amazon Q provides software development assistance. Amazon Q can chat about code, provide inline code completions, generate net new code, scan your code for security vulnerabilities, and make code upgrades and improvements, such as language updates, debugging, and optimizations.
  71. 71Amazon ConnectAI-powered, cloud-based virtual contact center. Receives calls and creates contact flows. Can be used to provide an on-demand, cloud-based contact center. Provides one seamless experience for your contact center customers and users. It's comprised of a full suite of features across communication channels.
  72. 72OTHER AWS SERVICES~
  73. 73AWS Elemental MediaConvertA file-based video processing service that provides scalable video processing for content owners and distributors with media libraries of any size. MediaConvert offers advanced features that enable premium content experiences.
    MediaConvert offers support for various input formats and adaptive bitrate (ABR) packaging output formats for delivering high-quality content from a range of sources onto primary and multiscreen devices.
  74. 74AWS PinpointAn AWS service that you can use to engage with your customers across multiple messaging channels. Scalable two-way (outbound/inbound), so you can also receive replies. You can use Amazon Pinpoint to send push notifications, in-app notifications, emails, text messages, voice messages, and messages over custom channels.

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Flashcards on AWS Certified Cloud Practitioner (Part II), created by Aleksandra Nadzieja on 21/12/2025.
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