Google CLOUD-DIGITAL-LEADER Online Practice Questions and Exam Preparation

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 1:

  You are working for a hospital that stores its medical images in an on-premises data room and it is provided that the hospitals want to use Cloud Storage for archival storage of these images. You are required to design and implement a solution where the hospital wants an automated process to up-load any new medical images to Cloud Storage. On the basis of this statements which of the follow-ing statement is correct.

  A. Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub topic.
  B. Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage. Schedule the script as a cron job.
  C. In the Cloud Console, go to Cloud Storage. Upload the relevant images to the ap-propriate bucket.
  D. Deploy a Dataflow job from the batch template, "Datastore to Cloud Storage" Schedule the batch job on the desired interval.
  B. Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage. Schedule the script as a cron job.

  ---

  Explanation Explanation/Reference:Using sync for new images implies that you will continue to use your onprem and keep synchronizing it forever, Sync just once for the old images, new images go directly to google cloud via pub/sub, and eventually get rid of the onprem.

• Question 2:

  What is a benefit of the OpEx model for cloud security?

  A. Organizations do not need to make upfront capital investments in cloud security.
  B. Organizations can deploy custom security hardware.
  C. Organizations do not need to configure any security settings for cloud resources.
  D. The cloud provider guarantees security.
  A. Organizations do not need to make upfront capital investments in cloud security.

  ---

  The question asks about the benefits of the operational expenditure (OpEx) model for cloud security. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: Refer to Google Cloud's shared responsibility model documentation for more information on OpEx benefits for cloud security.

• Question 3:

  Your organization is running all its workloads in a private cloud on top of a hypervisor. Your organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximim amount of managed services Google offers.

  What should your organization do?

  A. Migrate the workloads to Google Cloud VMware Engine
  B. Migrate the workloads to Compute Engine
  C. Migrate the workloads to Bare Metal Solution
  D. Migrate the workloads to Google Kubernetes Engine
  B. Migrate the workloads to Compute Engine

  ---

  Migrate for Compute Engine enables you to lift and shift workloads at scale to Google Cloud Compute Engine with minimal changes and risk. Reference: https://dataintegration.info/simplify-vm-migrations-with-migrate-for-compute-engine-asa-service

• Question 4:

  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. Cloud Vision API

  ---

  Explanation 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.

• Question 5:

  Google Cloud Platform (GCP) provides three main compliance resource webpages. What are they? (Select Three Answer)

  A. Compliance Reports Manager
  B. Support Hub
  C. Compliance Offerings
  D. GDPR Home Page
  E. TechCentral
  A. Compliance Reports Manager
  C. Compliance Offerings
  D. GDPR Home Page

  ---

  Compliance Reports Manager, GDPR Home Page, Compliance Offerings GCP provides three main compliance resource webpages https://cloud.google.com/security/compliance/compliance-reports-manager https://cloud.google.com/security/compliance/offerings GDPR Resource Center https://cloud.google.com/security/gdpr/resource-center At Google Cloud, we champion initiatives that prioritize and improve the security and privacy of customer personal data, and want you, as a Google Cloud customer, to feel confident using our services in light of GDPR requirements. If you partner with Google Cloud, we will support your GDPR compliance efforts

• Question 6:

  What issues can arise when organizations integrate third-party systems into their cloud infrastruc-ture?

  A. Third-party systems may not be powerful enough to run many critical business applications.
  B. Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.
  C. Over-reliance on third-party systems limits an organization's potential for innova-tion.
  D. Third-party systems are less capable of addressing an organization's security re-quirements.
  B. Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.

  ---

  Explanation Explanation/Reference:Because unsecured third-party systems are a cybersecurity threat.

• Question 7:

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

  ---

  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 8:

  What is an example of unstructured data that organizations can capture from social media?

  A. Post comments
  B. Tagging
  C. Profile picture
  D. Location
  A. Post comments

  ---

  Explanation Explanation/Reference:https://treehousetechgroup.com/8-examples-of-unstructured-data/

• Question 9:

  An organization wants to ingest custom log data from GKE environments, virtual machines, and Google Cloud services. Which Google Cloud tool should the organization use?

  A. Dialogflow
  B. Cloud Logging
  C. Cloud SDK
  D. Data Catalog
  B. Cloud Logging

• Question 10:

  A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?

  A. Cloud SQL, BigQuery, Datastore
  B. Spanner, Cloud SQL, BigQuery
  C. Cloud SQL, Firestore, Datastore
  D. Cloud SQL, Bigtable, BigQuery
  B. Spanner, Cloud SQL, BigQuery

  ---

  Spanner, Cloud SQL, BigQuery Spanner-Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL. Cloud SQL-Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform. BigQuery-Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.