Practice Free Cloud-Digital-Leader Exam Online Questions
How does Cloud SQL help organizations create business insights?
- A . Integrates with business intelligence and analytics platforms
- B . Generates predictions using machine learning models
- C . Generates real-time charts and intelligent analytics
- D . Transforms business data from unstructured to structured
A
Explanation:
https://cloud.google.com/sql/docs/postgres/using-query-insights
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model.
What should the organization do?
- A . Use custom training in Vertex Al with TensorFlow.
- B . Use BigQuery ML and create models using SQL.
- C . Build a model in AutoML using labeled data.
- D . Integrate pre-trained APIs into their application.
Your organization is releasing its first publicly available application in Google Cloud. The application is critical to your business and customers and requires a 2-hour SLA.
How should your organization set up support to minimize costs?
- A . Enroll in Premium Support
- B . Enroll in Enhanced Support
- C . Enroll in Standard Support
- D . Enroll in Basic Support
B
Explanation:
Reference: https://www.secureauth.com/enhanced-support-offering/
SecureAuth is dedicated to providing the industry-leading enhanced support ensuring the long term success of your SecureAuth SaaS IAM deployment
What conditions be true if a VM interface wants to send packets to the external IP addresses of Google APIs and services using Private Google Access?
- A . VM interface does not have an external IP address assigned.
- B . VM interface is connected to a subnet where Private Google Access is disabled
- C . Both A and B
- D . None of the Above.
A
Explanation:
A VM interface can send packets to the external IP addresses of Google APIs and services using Private Google Access if all these conditions are met:
– The VM interface is connected to a subnet where Private Google Access is enabled.
– The VPC network that contains the subnet meets the network requirements for Google APIs and services.
– The VM interface does not have an external IP address assigned.
– The source IP address of packets sent from the VM matches the VM interface’s primary internal IP address or an internal IP address from an alias IP range.
A VM with an external IP address assigned to its network interface doesn’t need Private Google Access to connect to Google APIs and services. However, the VPC network must meet the requirements for accessing Google APIs and services.
A customer is migrating there on-promises data analytics solution to Google Cloud. The current solution has a lot of data being read form and written to disk. The performance of this approach has
occasionally been a bottleneck for a scale of operations that your customer has. The application is fault tolerant and can with stand machine going down frequently. In moving to Google Cloud they are asking your advice on any way to improve performance?
- A . Use Big Query Which has very fast data access and analysis
- B . Use Cloud Storage which can be central, scalable storage
- C . Use local SSDs with the VMs
- D . Use Persistent Disk with the VMs
C
Explanation:
Local SSDs are attached to the VM and have very high throughput. However, when the VM shuts down, The local SSD is also shut down, Since our Workload here is foult tolerant, than is not an issue.
An organization is making a strategic change to customer support in response to feedback. They plan to extend their helpline availability hours.
Why is the organization making this change?
- A . Users expect professional expertise
- B . Users require personalization
- C . Users expect always-on services
- D . Users require regional access
What is a benefit of Google’s purpose-built servers compared to standard servers?
- A . They run software that cannot be deployed on standard servers.
- B . They are backward compatible with legacy disk drives.
- C . They are optimized for specific tasks making them more efficient.
- D . They are cheaper to build than standard servers.
You decide to migrate your on-premises environment to the cloud. You need to determine which resource components still need to be assigned ownership.
Which two functions are owned by a public cloud provider? (Choose two.)
- A . Hardware maintenance
- B . Infrastructure architecture
- C . Infrastructure deployment automation
- D . Hardware capacity management
- E . Fixing application security issues
A, D
Explanation:
In a shared responsible model, hardware maintence and capacity management cloud provider is the responsible part.
An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time.
What could be a typical data pipeline used to support this platform on Google Cloud?
- A . Cloud Pub/Sub, Cloud Dataflow, Data Studio
- B . Cloud Functions, Cloud Dataproc, Looker
- C . Cloud Pub/Sub, Cloud Dataflow, BigQuery
- D . Cloud Functions, Cloud Dataproc, BigQuery
A
Explanation:
=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don’t have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won’t be a good fit here.
Your organization needs to categorize objects in a large group of static images using machine learning.
Which Google Cloud product or service should your organization use?
- A . BigQuery ML
- B . AutoML Video Intelligence
- C . Cloud Vision API
- D . AutoML Tables
C
Explanation:
Reference: https://cloud.google.com/vision
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.