AST Prep Flashcards
When it comes to APIs, REST is:
A convention for building HTTP Services/API’s
DynamoDB was built to handle applications at amazon, like amazon.com
True
Kubernetes is:
a. Open source
b. Used to help with the orchestration (automation, deployment, scale and management) of containers
Developers use application code to send HTTP requests to:
API Endpoints
DocumentDB has Point in time restore for up to how many days?
35 days
Which data models does CosmosDB support:
Document, graph, key value, column family
Some advantages of mainframes are:
HA
Massive scalability and performance
PostgreSQL markets itself as an Object-relational database
True
When your customer is going with MongoDB for a number of their microservices, which self-managed licensing model makes the most sense
Ram Pool
Data Caches like Redis are in memory
True
Benefits of Microservices include:
Each microservice can use its own tech stack
You can scale each microservices independently
If one microservice goes down the rest still work properly
Continuous Delivery/Deployment
Starts once the tests of new code are successful
Packages the app to be downloaded by users and or deploy it to a production environment to be used
DynamoDB on its own has out of the box support for the following:
Encryption at rest
Auto scaling
ACID transactions
Database Triggers
Two main benefits of DevOps are:
Better code quality and products
Faster releases TTM
Azure CosmosDB has industry leading security & compliance. They encrypt over the wire and at rest.
True
Event Driven Architectures power modern systems that enable companies to:
Provide a compelling customer experience
Combine everything they know about their customers with state-of-the-art predictive models
Atlas, like DocumentDB can have Analytics nodes that are larger than the operational replica set
False
DocumentDB is assessed to comply with PCI, ISO and is HIPAA eligible
True
How many pre-built, “canned” demos do we have for SA’s to use during PoVs
More than 45
MongoDB Charts is a replacement for a BI tool like Tableau
False
Operational data (like user reviews) that sit in MongoDB are often a source for Data Lakes/Warehouses. This enables broader analysis with other data sets
True
PostgreSQL doesn’t support or conform to all of the features and standards of the SQL:2016 Core conformance standard. This means that:
Moving any application previously built on another RDBMS to PostgreSQL could require some code refactoring
DocumentDB, like Atlas can automatically scale your compute Up and Down
False
Amazon Aurora has out of the box compatibility with which databases
PostgreSQL
MySQL
Data Lakes were designed to store processed, refined data
False
ETL was built to:
Take data from multiple sources combine and transform it and load it into a desired location
For each sales motion, the TFW Planning Framework has:
Common Required Capabilities to consider and the best way to showcase how MongoDB solves it
Links to demos the SA can use to highlight our differentiation
Amazon suggests that rarely can 1 data platform handle every use case, and instead you should use the purpose built database for the job.
True