Google Google Certifications CLOUD-DIGITAL-LEADER Questions & Answers

• Question 261:

  When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model. Which of these statements define a classification model?

  A. A type of machine learning model for distinguishing among two or more discrete values.

  B. g. "book", "car".

  C. A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.

  D. A type of machine learning model that outputs continuous (typically, floating-point) values.

  E. g. the predicted price of the house is $120,000.

  F. A type of classic model approach that is less used today and which has been re-placed by the regression model.

  Correct Answer: A

  A classification model classifies the incoming data into one or more discrete classes.

• Question 262:

  You are looking for a one stop reference page for GCP support. What Page would you se-lect?

  A. Compliance Hub

  B. Google Cloud Platform Status

  C. Support Hub

  D. Pricing Page

  Correct Answer: C

  Google provides a page that brings together everything needed around support. Its called the Support Hub Reference link-https://cloud.google.com/support-hub

• Question 263:

  The Border Security Agency has hired your software services firm to build an application for them that will collect information about visas stamped on passports. You are given stamped images. You have to find out which country issued the visa and the period of validity. Pull out this data and put it into a database. Which of these applications would be suitable for that?

  A. Use Cloud Vision API-write code to identify the text blocks, copy the data, and store it

  B. Use TensorFlow-write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it.

  C. Use AutoML-upload other images of visas and run the model creation process which will automatically identify the visas

  D. Use Data Labeling service-outsource the work of marking and extracting the in-formation to others.

  Correct Answer: A

  Cloud Vision API allows you to programmatically identify images, text, etc. in the document. This would be the best option.

  https://cloud.google.com/vision

• Question 264:

  Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud BigTable, which of the following statements is/are correct. (Select two answer)

  A. Administrators can not rotate

  B. Not supported for instances that have clustered in more than one region.

  C. CMEK can only be configured at the cluster level.

  D. You can not use the same CMEK key in multiple projects

  Correct Answer: BC

  Customer-managed encryption keys for Cloud BigTable.

  By default, all the data at rest in Cloud Bigtable is encrypted using Google's default encryption. Bigtable handles and manages this encryption for you without any additional action on your part. If you have specific compliance or regulatory requirements related to the keys that protect your data, you can use customer-managed encryption keys (CMEK) for BigTable. Instead of Google managing the encryption keys that protect your data, your BigTable instance is protected using a key that you control and manage in Cloud Key Management Service (Cloud KMS).

  Features Security: CMEK provides the same level of security as Google's default encryption but provides more administrative control. Data access control: Administrators can rotate, manage access to, and disable or destroy the key used to protect data at rest in BigTable . Auditability: All actions on your CMEK keys are logged and viewable in Cloud Logging. Comparable performance: BigTable CMEK-protected instances offer comparable performance to BigTable instances that use Google default encryption. Flexibility: You can use the same CMEK key in multiple projects or instances or you can use separate keys, depending on your business needs.

• Question 265:

  Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your cus-tomer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?

  A. Integrate the Cloud Vision API to create a custom model to handle the documents.

  B. Create a model using TensorFlow and integrated it into the process workflow.

  C. Integrate the Lending DocAI and Document AI in two there processes workflow of the processing loan requests.

  D. Integrate the Natural Language API to read the request sent in by clients and to process the forms.

  Correct Answer: C

  Lending DocAI is a pre-packaged AI solution that speeds "up the mortgage workflow processes to easily process loans and automate document data capture, while ensuring the accuracy and breadth of different documents (e.g., tax statements and asset documents)." https://cloud.google.com/solutions/lending-doc-ai

• Question 266:

  A bank wants to track the success of their existing ATM network, which has been modernized with APIs to instantly notify customers about their transfers. What is the benefit of using Apigee to achieve this goal?

  A. It has dashboards that chart dimensions and metrics to report on APIs.

  B. It replicates banking APIs to create new business value.

  C. It measures and tracks their total cost of ownership (TCO).

  D. It allows developers to connect the banking APIs with the public cloud.

  Correct Answer: A

  Apigee includes analytics services which allow enterprises to report on various aspects of an API.

• Question 267:

  What cloud service model would you want to select if you want to solve a particular busi-ness problem by providing CRM services in the cloud to your enterprises?

  A. CaaS

  B. SaaS

  C. PaaS

  D. IaaS

  Correct Answer: B

  SaaS Software as a Service (SaaS) provides you a complete product that is run and managed by the service provider. You worry only about using the software and not about infrastructure. SaaS provides the lowest level of flexibility and management control over the infrastructure. (Example: Google Gsuite and MS O365)

• Question 268:

  Your client's IT environment has so far been on-premises. They run a mix of applications and data-bases on Linux and Windows. They want to move to Google Cloud in the easiest manner possi-ble. What are their best options?

  A. Compute Engine with VMs with either Linux or Windows OS.

  B. App Engine Standard

  C. Cloud Functions

  D. Cloud Run

  Correct Answer: A

  Compute Engine allows you to allocate VMs with different OSs-Windows and Linux, included.

• Question 269:

  What service is a fully managed real-time messaging service that allows you to send and receive messages between independent applications.

  A. Cloud Datastore

  B. Cloud Pub/Sub

  C. Cloud DNS

  D. Cloud BigTable

  E. Cloud Spanner

  Correct Answer: B

  Google Cloud Pub/Sub is a scalable, durable event ingestion and delivery system.

  -> Pub/Sub allows services to communicate asynchronously, with latencies on the order of 100 milliseconds.

  -> Pub/Sub is used for streaming analytics and data integration pipelines to ingest and distribute data. It is equally effective as messaging-oriented middleware for service integration or as a queue to parallelize tasks. -> Pub/Sub enables you

  to create systems of event producers and consumers, called publishers and subscribers. Publishers communicate with subscribers asynchronously by broadcasting events, rather than by synchronous remote procedure calls (RPCs).

  Reference link-https://cloud.google.com/pubsub/docs/overview

• Question 270:

  You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.

  You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.

  A. Bare Metal Solutions with Google Cloud Storage.

  B. Google Cloud Storage and Google Cloud Compute Engines

  C. Google Cloud Storage and Preemptible VMs.

  D. None of the Above

  Correct Answer: C

  The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently.

  Preemptible instances function like normal instances but have the following limitations:

  Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to

  zone depending on current conditions.

  Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.

  Preemptible instances are finite Compute Engine resources, so they might not always be available.

  Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event. Due to the above limitations, preemptible instances are not covered by any Service Level Agreement

  (and, for clarity, are excluded from the Compute Engine SLA). The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.

  Reference link-https://cloud.google.com/compute/docs/instances/preemptible