Practice Free Cloud-Digital-Leader Exam Online Questions
A multinational retail company has approached you to help design its systems. They have millions of transactions at their point of sale systems across the world that need to be captured, stored, and analyzed. They are seeing more growth and expect to expand into even more geographies.
Which database would be appropriate for them?
- A . Cloud Datastore
- B . Cloud Storage
- C . Cloud Spanner
- D . Cloud SQL
C
Explanation:
Cloud Spanner: "Fully managed relational database with unlimited scale, strong consistency, and up
to 99.999% availability."
Reference: https://cloud.google.com/spanner
You are working with a government agency. A web application serves users of the country. It al-lows citizens to receive certain services in providing their national identity. Citizens have complained that they are seeing delays in web page loading compared to before. On investigating, they are seeing a lot of spurious traffic coming in from a few IPs which they have identified as foreign.
What should they do?
- A . Setup Firewall rules to deny access to the malicious IPs.
- B . Setup Cloud Armor and add the malicious IPs to the deny list.
- C . Setup Firewall rules to allow access only to the IPs from within the country.
- D . Setup Cloud NAT and remove all the internal IPs and replace it with a single public IP.
B
Explanation:
Cloud Armor provides DDoS protection for applications. It can also "Filter your incoming traffic based on IPv4 and IPv6 addresses or CIDRs. Enforce geography-based access controls to allow or deny traffic based on source geo using Google’s geoIP mapping."
An organization is training a machine learning model to predict extreme weather events in their country.
How should they collect data to maximize prediction accuracy?
- A . Collect all weather data evenly across all cities
- B . Collect all weather data primarily from at-risk cities
- C . Collect extreme weather data evenly across all cities
- D . Collect extreme weather data primarily from at-risk cities
A
Explanation:
Collect all weather data evenly across all cities. Mainly because it seems that the emphasis for data collection for ML is to make sure there are no holes in your data collection.
An organization wants to dynamically adjust its application to serve different user needs.
What are the benefits of storing their data in the cloud for this use case?
- A . Data can be stored in archive for long term access
- B . Automatic data cleaning and validation
- C . Real-time data ingestion and analysis
- D . No data access management required
C
Explanation:
By storing their application data in the cloud the organization will be able to gather and analyze user behavior data in real-time. This will enable them to dynamically adjust their application for different user needs.
How can a streaming service meet global compliance requirements using the cloud?
- A . By automatically encrypting personally identifiable information
- B . By obtaining a business license to operate in a new market
- C . By allowing users to disable two-factor authentication
- D . By adhering only to data polices of the country in which the head office is registered
An organization’s public cloud provider failed to meet their SLA of 99.99% availability.
What is the potential impact on the organization?
- A . The organization risks using up their error budget.
- B . Renegotiation of the SLA to put less emphasis on uptime could be necessary.
- C . Unexpected downtime could risk the loss of customers.
- D . All data stored in their database could be unexpectedly lost.
Your team is working on building a machine learning model. There are a bunch of terminologies that are being used.
What is an "instance" or an "example"?
- A . An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
- B . One row of a dataset containing one or more input columns and possibly a prediction result.
- C . An answer for a prediction task, either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
- D . The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
B
Explanation:
One row of a dataset containing one or more input columns and possibly a prediction result.
https://developers.google.com/machine-learning/guides/rules-of-ml#terminology
How is service availability measured in the context of cloud technology?
- A . Number of available regions
- B . Percentage of uptime
- C . Speed of response time
- D . Number of downtime incidents
An organization cannot afford to modernize their infrastructure but they want to process data from their legacy system in a modern platform hosted by a business partner
What solution should the organization choose to make their data accessible?
- A . Compute Engine
- B . Anthos
- C . An application programming interlace
- D . Google Kubernetes Engine
A cloud-native organization is not meeting their service level objective (SLO) but has not exhausted their error budget.
What should the organization prioritize?
- A . Innovation to improve user experience
- B . Hardware reliability to improve availability
- C . Stability to avoid prolonged user downtime
- D . Speed to release new features
C
Explanation:
Both Devs and SRE team must ensure that the error budget does not become exhausted. To avoid it, releases have to stop for the time being until the error budget resets. The team would have to reprioritize to focus on reliability to get it back to an acceptable state.