GOOGLE CLOUD ASSOCIATE ENGINE
EXAM QUESTIONS WITH CORRECT
ANSWERS
Caches - ANSWER-Caches are in-memory data stores that maintain fast access to
data. The latency of im-memory data stores is designed to be submilli second.
Caches are quite helpful when you need to keep read latency to a minimum in your
application.
Memory in a cache is more expensive than SSD or HDD storage.
Caches are volatile, you lose the data stored in the cache when power is lost or the OS
is rebooted.
A cache should never be used as the only data source for storing data, some form of
persistent storage should be used to maintain a data store that always has the latest
and most accurate version of the data.
Caches can get out of sync with the system of truth, this happens when the system of
truth is updated but the new data is not written to the cache.
Latency - ANSWER-The amount of time it takes to retrieve data.
Networking - ANSWER-Each network-accessible device or service in your device will
need an IP address. Devices within GCP can have both internal and external
addresses.
Internal IP Addresses - ANSWER-Are accessible to only services in your internal GCP
network.
Virtual Private Cloud (VPC) - ANSWER-Your internal GCP network.
Here you specify IP addresses for your VMs and services and define firewall rules to
control access to to subnetworks and VMs in your VPC.
A VPC can span the globe without relying on the public internet.
VPCs can have subnets in any GCP regions world-wide and subnets can span the
zones that make up a region.
You can have resources in different zones on the same subnet.
,External IP Addresses - ANSWER-Can be either static or ephemeral.
Static addresses are assigned to a device for extended periods of time.
Ephemeral external IP addresses are attached to VMs and released when the VM is
stopped.
Static IP Addresses - ANSWER-Are assigned for extended periods of time.
Ephemeral IP Addresses - ANSWER-Are attached to VMs and released when the VM is
stopped.
Firewall Rules - ANSWER-Can be configured to to limit inbound and outbound traffic to
the IP address of the application server or load balancer in front of the application
cluster.
Peering - ANSWER-Allows you to share data and network access between an on-
premise data center and your VPC. There are several types of peering available with
your VPC in GCP.
Specialized Services - ANSWER-Can be used as building blocks of applications or as
part of a workflow for processing data.
Specialized services commonly are serverless, provide a specific function such as
translating text or analyzing images, and provide an API to access the functionality of
the service.
Some of the specialized services in GCP are:
AutoML - a machine learning service
Cloud Natural Language - a service for analyzing text
Cloud Vision - a service for analyzing images
Specialized services encapsulate advanced computing capabilities and make them
accessible to developers who are not experts in the domains provided.
Infrastructure as a Service (IaaS) - ANSWER-A computing service where customers
can create and manage VMs themselves.
This model gives the cloud user the greatest control of all the computing services. Users
can choose the OS to run, which packages to install, and when to backup and perform
other maintenance operations.
Compute Engine is GCP's IaaS product.
,Platform as a Service (PaaS) - ANSWER-Provides a runtime environment to execute
applications without the need to manage underlying servers, networks, and storage
systems.
App Engine and Cloud Functions are GCP's PaaS offerings.
Compute Engine - ANSWER-A service that allows users to create VMs, attached
persistent storage to those VMs, and make use of other GCP services like Cloud
Storage. There are discounts applied when a VM is run for more than 25% of the
month.
Hypervisor - ANSWER-VMs run within a low-level service called hypervisor.
GCP uses a security hardened version of the KVM hypervisor. KVM stands for Kernel
Virtual Machine and provides virtualization on Linux systems running on x86 hardware.
Hypervisors run on an OS like Linux or Windows Server.
Hypervisors can run multiple OS while keeping the activities of each isolated from other
guest OSs.
Each instance of an executing guest OS is a VM instance.
Creating a VM - ANSWER-VMs come in a range of predefined sizes, but you can also
create a customized configuration.
When you create a VM instance you can specify the number of parameters including
the following:
-The OS
-Size of persistent storage
-Adding graphical processing units (GPUs) for compute-intensive operations like
machine learning (ML)
-Making the VM preemptible
Kubernetes Engine - ANSWER-Is designed to allow users to easily run containerized
applications on a cluster of servers (VMs).
With containers, processes and resources are isolated using features of the host OS.
With this approach, there is no need for a hypervisor as the host OS maintains isolation.
A Container Manager is used and it coordinates containers running on the server. No
additional, or guest OSs run on top of the container manager.
Containers make use of the host OS functionality, while the OS and Container Manager
ensure isolation between running containers.
, Kubernetes Engine allows users to describe the compute, storage, and memory
resources they'd like to run their services. Kubernetes Engine then provisions the
underlying resources.
It's easy to add/remove resources from a Kubernetes Cluster using a command-line
interface or graphical user interface.
With Kubernetes, you can administer the cluster, specify policies such as autoscaling,
and monitor cluster health.
Container Manager - ANSWER-Coordinates containers running on the same server
within Kubernetes Clusters.
Ensures isolation between running containers.
App Engine - ANSWER-With App Engine, developers and application administrators
don't need to concern themselves with configuring VMs or specifying Kubernetes
clusters.
Developers create applications in a popular programming language and deploy that
code to a serverless applications.
App Engine manages the underlying computing and network infrastructure, there is no
need to configure VMs or harden networks to protect your application.
Is used for applications and containers that run for extended periods of time, such as a
website backend, point-of-sale system, or custom business applications.
App Engine is available in two types: standard and flexible.
App Engine: Standard Environment - ANSWER-In the standard environment, you run
applications in a language-specific sandbox, so your application is isolated from the
underlying servers OS as well as other applications running on that server.
The standard environment is well suited to applications that are written in one of the
supported languages and do not need OS packages or other compiled software that
would have to be installed along with the application code.
Supported Languages are Java, Python, PHP, Node.js, and Go.
There are no running instances when there is no load.
App Engine: Flexible Environment - ANSWER-In the flexible environment, you run
Docker containers in the App Engine environment.
EXAM QUESTIONS WITH CORRECT
ANSWERS
Caches - ANSWER-Caches are in-memory data stores that maintain fast access to
data. The latency of im-memory data stores is designed to be submilli second.
Caches are quite helpful when you need to keep read latency to a minimum in your
application.
Memory in a cache is more expensive than SSD or HDD storage.
Caches are volatile, you lose the data stored in the cache when power is lost or the OS
is rebooted.
A cache should never be used as the only data source for storing data, some form of
persistent storage should be used to maintain a data store that always has the latest
and most accurate version of the data.
Caches can get out of sync with the system of truth, this happens when the system of
truth is updated but the new data is not written to the cache.
Latency - ANSWER-The amount of time it takes to retrieve data.
Networking - ANSWER-Each network-accessible device or service in your device will
need an IP address. Devices within GCP can have both internal and external
addresses.
Internal IP Addresses - ANSWER-Are accessible to only services in your internal GCP
network.
Virtual Private Cloud (VPC) - ANSWER-Your internal GCP network.
Here you specify IP addresses for your VMs and services and define firewall rules to
control access to to subnetworks and VMs in your VPC.
A VPC can span the globe without relying on the public internet.
VPCs can have subnets in any GCP regions world-wide and subnets can span the
zones that make up a region.
You can have resources in different zones on the same subnet.
,External IP Addresses - ANSWER-Can be either static or ephemeral.
Static addresses are assigned to a device for extended periods of time.
Ephemeral external IP addresses are attached to VMs and released when the VM is
stopped.
Static IP Addresses - ANSWER-Are assigned for extended periods of time.
Ephemeral IP Addresses - ANSWER-Are attached to VMs and released when the VM is
stopped.
Firewall Rules - ANSWER-Can be configured to to limit inbound and outbound traffic to
the IP address of the application server or load balancer in front of the application
cluster.
Peering - ANSWER-Allows you to share data and network access between an on-
premise data center and your VPC. There are several types of peering available with
your VPC in GCP.
Specialized Services - ANSWER-Can be used as building blocks of applications or as
part of a workflow for processing data.
Specialized services commonly are serverless, provide a specific function such as
translating text or analyzing images, and provide an API to access the functionality of
the service.
Some of the specialized services in GCP are:
AutoML - a machine learning service
Cloud Natural Language - a service for analyzing text
Cloud Vision - a service for analyzing images
Specialized services encapsulate advanced computing capabilities and make them
accessible to developers who are not experts in the domains provided.
Infrastructure as a Service (IaaS) - ANSWER-A computing service where customers
can create and manage VMs themselves.
This model gives the cloud user the greatest control of all the computing services. Users
can choose the OS to run, which packages to install, and when to backup and perform
other maintenance operations.
Compute Engine is GCP's IaaS product.
,Platform as a Service (PaaS) - ANSWER-Provides a runtime environment to execute
applications without the need to manage underlying servers, networks, and storage
systems.
App Engine and Cloud Functions are GCP's PaaS offerings.
Compute Engine - ANSWER-A service that allows users to create VMs, attached
persistent storage to those VMs, and make use of other GCP services like Cloud
Storage. There are discounts applied when a VM is run for more than 25% of the
month.
Hypervisor - ANSWER-VMs run within a low-level service called hypervisor.
GCP uses a security hardened version of the KVM hypervisor. KVM stands for Kernel
Virtual Machine and provides virtualization on Linux systems running on x86 hardware.
Hypervisors run on an OS like Linux or Windows Server.
Hypervisors can run multiple OS while keeping the activities of each isolated from other
guest OSs.
Each instance of an executing guest OS is a VM instance.
Creating a VM - ANSWER-VMs come in a range of predefined sizes, but you can also
create a customized configuration.
When you create a VM instance you can specify the number of parameters including
the following:
-The OS
-Size of persistent storage
-Adding graphical processing units (GPUs) for compute-intensive operations like
machine learning (ML)
-Making the VM preemptible
Kubernetes Engine - ANSWER-Is designed to allow users to easily run containerized
applications on a cluster of servers (VMs).
With containers, processes and resources are isolated using features of the host OS.
With this approach, there is no need for a hypervisor as the host OS maintains isolation.
A Container Manager is used and it coordinates containers running on the server. No
additional, or guest OSs run on top of the container manager.
Containers make use of the host OS functionality, while the OS and Container Manager
ensure isolation between running containers.
, Kubernetes Engine allows users to describe the compute, storage, and memory
resources they'd like to run their services. Kubernetes Engine then provisions the
underlying resources.
It's easy to add/remove resources from a Kubernetes Cluster using a command-line
interface or graphical user interface.
With Kubernetes, you can administer the cluster, specify policies such as autoscaling,
and monitor cluster health.
Container Manager - ANSWER-Coordinates containers running on the same server
within Kubernetes Clusters.
Ensures isolation between running containers.
App Engine - ANSWER-With App Engine, developers and application administrators
don't need to concern themselves with configuring VMs or specifying Kubernetes
clusters.
Developers create applications in a popular programming language and deploy that
code to a serverless applications.
App Engine manages the underlying computing and network infrastructure, there is no
need to configure VMs or harden networks to protect your application.
Is used for applications and containers that run for extended periods of time, such as a
website backend, point-of-sale system, or custom business applications.
App Engine is available in two types: standard and flexible.
App Engine: Standard Environment - ANSWER-In the standard environment, you run
applications in a language-specific sandbox, so your application is isolated from the
underlying servers OS as well as other applications running on that server.
The standard environment is well suited to applications that are written in one of the
supported languages and do not need OS packages or other compiled software that
would have to be installed along with the application code.
Supported Languages are Java, Python, PHP, Node.js, and Go.
There are no running instances when there is no load.
App Engine: Flexible Environment - ANSWER-In the flexible environment, you run
Docker containers in the App Engine environment.
