AST Prep Flashcards by Andrew Cretini

When it comes to APIs, REST is:

A convention for building HTTP Services/API’s

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DynamoDB was built to handle applications at amazon, like amazon.com

True

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Kubernetes is:

a. Open source

b. Used to help with the orchestration (automation, deployment, scale and management) of containers

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Developers use application code to send HTTP requests to:

API Endpoints

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DocumentDB has Point in time restore for up to how many days?

35 days

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Which data models does CosmosDB support:

Document, graph, key value, column family

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Some advantages of mainframes are:

Massive scalability and performance

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PostgreSQL markets itself as an Object-relational database

True

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When your customer is going with MongoDB for a number of their microservices, which self-managed licensing model makes the most sense

Ram Pool

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Data Caches like Redis are in memory

True

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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

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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

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DynamoDB on its own has out of the box support for the following:

Encryption at rest
Auto scaling
ACID transactions
Database Triggers

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Two main benefits of DevOps are:

Better code quality and products

Faster releases TTM

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Azure CosmosDB has industry leading security & compliance. They encrypt over the wire and at rest.

True

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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

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Atlas, like DocumentDB can have Analytics nodes that are larger than the operational replica set

False

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DocumentDB is assessed to comply with PCI, ISO and is HIPAA eligible

True

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How many pre-built, “canned” demos do we have for SA’s to use during PoVs

More than 45

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MongoDB Charts is a replacement for a BI tool like Tableau

False

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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

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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

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DocumentDB, like Atlas can automatically scale your compute Up and Down

False

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Amazon Aurora has out of the box compatibility with which databases

PostgreSQL

MySQL

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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

Amazon claims that documentDB is:

Fully compatible with MongoDB 3.6 Has twice the throughput of MongoDB Has automatic patching, backups and provisioning

If mainframes are so performant and reliable, why are your customers trying to offload workloads?

Want to get out of the Data Center business and into the Cloud Its getting hard to find the specialized skill sets needed to run and develop against them Mainframes are ridiculously expensive. They want to save cost

Continuous integration:

Allows code to be automatically built and tested once added to the main code repository Allows developers to release features on their own timelines independent of other developers

Amazon documentDB utilizes similar funtionality to replica sets to enable:

HA/DR | Workload isolation/READ ONLY WORKLOADS

RESTful APIs are commonly built to CRUD data on the server:

True

What % of deals need some sort of biz case?

100%

Mainframes are best used for:

zero downtime use cases | Processing huge amounts of smaller transactions simultaneously

For MongoDB sellers, it's exciting to find out if a company is using a microservice architecture because:

Replacing a Monolith is a large undertaking, but replacing a microservice is easier; a smaller barrier to entry Managing many services each with their own database is difficult and time consuming

4 main HTTP methods

Get Post Put Delete

Amazon claims that Data Migration Service (DMS) can freely (for the first 6 months) migrate your sharded MongoDB databases, whether on premises or self managed in the cloud, to DocumentDB with virtually no downtime and its as simple as changing a connection string

True

Containers help

Agile DevOps CICD Better utilization of resources compared to VMs

This business case has structured interviews with key stakeholders to understand and validate current state business challenges, negative consequences, and a desired future state. It is high touch and includes a formal proposal with a business-focused narrative and a CFO-ready financial analysis of the key financial metrics

BVA

The Sales Process Playbook has tips/tricks & pitfalls to keep in mind during the sales process for each motion

True

Modern companies are moving towards a

Self service BI strategy

Data warehouses and data lakes were built primarily to be a transactional system

False

Kafka / (Message Queues) enable the move to real-time, Event Driven Architectures

True

ETL stands for

extract transform load

API main uses include

Allowing developers to expose their services to many different applications Allowing different devices and services to connect and interact with each other

Aurora can globally distribute replicas for fast local performance and DR

True

The Sales Process Playbook has Customer Verifiable Outcomes to help know when you are ready to move to the next stage/gate

True

A financial comparison of two (or more) operating models that is used to support deals when MDB has already won the technical decision describes which business case:

TCO

DynamoDB is multi-master which means by default its

eventually consistent

CosmosDB guarantees reads of 1kb or less to return in how many MS

10 MS

Customers can utilize Kubernetes and our Operator/Broker to deploy and manage MongoDB:

Self Managed in the public cloud with Ops/Cloud Manager Fully Managed in Atlas On Prem with Ops/Cloud Manager

Kafka / Message Queues give you the flexibility to evolve your IT architectures easily because:

They reduce the need for point to point ETL processes(even if the need to help with the transform at times)

MongoDB connector for BI can help a BI tool like Tableau utilize data in mongodb for

Visualizing data Spotting market trends Analyze customer behavior

TFW planning framework has checklists to help with

Prep for TFW Understanding who should be doing what during TFW What to follow up with after the TFW

We start this business case in Discovery. Its something we develop over time, not necessarily an exercise done with the customer

3 whys

CosmosDB claims that you will be able to write from any API and read from any API. For Example: write a Document using MongoDB API and read the data in the form of a column-family data model with the Cassandra API.

True

Business Intelligence (BI) is simply the act of visualizing data

False

For MongoDB sellers, it's exciting to find out if a company is truly practicing CI/CD because:

We know they care about speed to market and productivity

Large focus of the devops practice is:

automation

BVA's are most applicable to which sales motion

select and replace

If one of the main benefits of devops is faster TTM Mongo can help by

Letting developers focus more time on features instead of schema changes Letting developers focus on features rather than mapping code needed to translate data into objects

The purpose of a data cache like redis is to

Speed up reads

If one of the main benefits of DevOps is TTM, mongodb Atlas can help by

Automatically scaling their database servers up and down based on demand with 0 lines of code Can utilize Atlas' API to take advantage of Infrastructure as Code Automating and simplifying the management of the database so the team can focus on developing features

Data Lakes and DW were built primarily to be used for analytics

True

Data warehouses by design have strict predetermined data structure (schema) this means that

The data itself is easier to decipher, which allows it to be used in charts, spreadsheets and tables for Business users it makes the data warehouses difficult and costly to manipulate and support new use cases

Like Atlas, Aurora has auto scale features

True

PostgreSQL supports a wide variety of features such as

Geospatial capabilities Full text search JSON/XML support

Containers are more lightweight than VM's

True

Technical validation comes before business case in the mongodb sales process

False

MongoDB can not be used as in memory cache

False

TCO's are most applicable for which sales motion

launch and migrate

AST Prep Flashcards

(72 cards)