Learn Tech From Zero https://validator.w3.org/feed/docs/rss2.html Learn Tech From Zero Cisco Certified CyberOps Associate – 200-201 CBROPS Evidence collection order Map the organization stakeholders against the NIST IR categories (CMMC, NIST.SP800-61) Post-incident analysis (lessons learned) Containment, eradication, and recovery Detection and analysis Preparation Apply the incident handling process such as NIST.SP800-61 to an event Describe the elements in an incident response plan as stated in NIST.SP800-61 Vulnerability management Patch management Mobile device management Configuration management Asset management Interpret basic regular expressions URI / URL Hashes System (API calls) Process (file or registry) Client and server port identity IP address (source / destination) AWS Certified Solutions Architect – Associate (SAA-C03) Determining when storage auto scaling is required Determining the lowest cost method of transferring data for a workload to AWS storage Determining the correct storage size for a workload Designing appropriate storage strategies (for example, batch uploads toAmazon S3 compared with individual uploads) Storage types with associated characteristics (for example, object, file, block) Storage tiering (for example, cold tiering for object storage) Storage access patterns Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway) Data lifecycles Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types) Backup strategies AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS) AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report) AWS cost management service features (for example, cost allocation tags,multi-account billing) Access options (for example, an S3 bucket with Requester Pays object storage) Transforming data between formats (for example, .csv to .parquet) Selecting appropriate configurations for ingestion Selecting appropriate compute options for data processing (for example, Amazon EMR) Implementing visualization strategies Designing data transfer solutions Designing data streaming architectures Building and securing data lakes Streaming data services with appropriate use cases (for example, Amazon Kinesis) Sizes and speeds needed to meet business requirements Secure access to ingestion access points Data transformation services with appropriate use cases (for example, AWS Glue) Data transfer services with appropriate use cases (for example, AWSDataSync, AWS Storage Gateway)