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

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 291:

  An organization wants to use all available data to offer predictive suggestions on their website that improve over time. Which method should the organization use?

  A. Data automation
  B. Trends analysis
  C. Machine learning
  D. Multiple regression
  C. Machine learning

• Question 292:

  With respect to the Core Feature of Standby Instances of Cloud SQL which one of the options is correct.?

  A. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance.
  B. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
  C. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.
  D. None of the Above.
  C. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.

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  The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance. Cloud SQL Key Terms: Cloud SQL instance A Cloud SQL instance corresponds to one virtual machine (VM). The VM includes the database instance and accompanying software containers to keep the database instance up and running. Database instance A database instance is the set of software and files that operate the databases: MySQL, PostgreSQL or SQL Server. High availability Cloud SQL instances using high availability (HA) provide greater reliability than non-HA instances. HA in Cloud SQL works by having two synchronized instances: a primary instance and a standby instance. Each instance has exactly one VM. Each instance is in a different zone in the same region. Failover A failover is when Cloud SQL switches serving from the original primary instance to the standby instance. Autofailover is a mechanism that automatically triggers failover when a Cloud SQL instance didn't issue a heartbeat in the previous interval. Standby instances The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance. Clone When you clone a Cloud SQL instance, you create a new instance that is a copy of the source instance, but is completely independent. After cloning is complete, changes to the source instance are not reflected in the clone, and changes in the clone are not reflected in the source instance. Replication Replication is the ability to create copies of a Cloud SQL instance or an on-premises database, and offload work to the copies. The main reason for using replication is to scale the use of data in a database without degrading performance on the primary instance. Read replica The read replica is an exact copy of the primary instance. Data and other changes on the primary instance are updated in almost real time on the read replica. Send your write transactions to the primary instance, and your read requests to the read replica. The read replica processes queries, read requests, and analytics traffic, thus reducing the load on the primary instance. Source server Replication copies transactions from a primary instance to one or more read replicas. The primary instance is also called the source server. The source server can be a Cloud SQL primary instance, or a server outside of Google Cloud, such as an on-premises server or a server running in a different cloud. If the source server is outside of Google Cloud, we call it Replication from an external server. Cloud SQL Auth proxy client The Cloud SQL Auth proxy client is open source software maintained by Cloud SQL. It connects to a companion process, the Cloud SQL Auth proxy server, running on your Cloud SQL instance. You run the Cloud SQL Auth proxy client on your own servers. The Cloud SQL Auth proxy client can be used to establish a secure SSL/TLS connection to the database instance, and/or to avoid having to open the firewall. Authentication is done through Identity and Access Management (IAM).

• Question 293:

  An organization has created an ecommerce website. What data on this website would be considered structured data?

  A. Product photographs
  B. Product reviews
  C. Product descriptions
  D. Product ratings score
  D. Product ratings score

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  Explanation Explanation/Reference:Because product ratings are structured because they are numerical scores.

• Question 294:

  How would a global organization benefit from managing their data with Cloud Spanner?

  A. Cloud Spanner is optimized for cold storage
  B. Cloud Spanner replicates data across regions in real time
  C. Cloud Spanner is optimized to ingest unstructured data
  D. Cloud Spanner visualizes and analyzes data in real time
  B. Cloud Spanner replicates data across regions in real time

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  Explanation Explanation/Reference:Spanner is Google's scalable, multi-version, globally-distributed, and synchronously-replicated database.

• Question 295:

  A real estate organization processes photos of properties uploaded by their agents to an internal application. They must manually check and remove photos that contain personally identifiable information like passports and credit cards. They want a solution that their developer can use to integrate with their app as quickly as possible.

  Which solution should they use?

  A. BigQuery ML
  B. Custom training
  C. Pre-trainedAPIs
  D. AutoML
  C. Pre-trainedAPIs

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  Pre-trained APIs are ready-made models provided by Google Cloud that can be easily integrated into applications to perform specific tasks, such as detecting and removing personally identifiable information (PII) from images. These APIs, such as Cloud Vision API, can be quickly implemented by developers without needing to build or train custom models. Pre-trained APIs is correct because it offers a quick and efficient solution for identifying and removing PII from images, which the organization's developers can easily integrate into their application. References: Google Cloud Vision API: Pre-trained Models for Image Analysis Google Cloud AI and Machine Learning APIs: Use Cases and Integration

• Question 296:

  An organization is struggling to ensure that their legacy systems meet rapidly changing IT needs. Why should the organization use application programming interfaces (APIs)?

  A. To expose all underlying data so third parties can make amends
  B. To completely re-architect legacy applications
  C. To achieve long-term operational flexibility
  D. To operate on a pay-as-you go model so IT can scale flexibly
  C. To achieve long-term operational flexibility

• Question 297:

  A large travel services company has been running all their workloads on Google Cloud in the previous year. They looked at their past usage of cloud resources and see that there is a consistent use of 10,000 virtual machines throughout the year. Based on the projections for the following year they have a strong indication that they will use at least this much or more capacity within Google Cloud. What is one way in which they can take advantage of this knowledge?

  A. They can use these numbers to negotiate a better contract with another public cloud number.
  B. They can cut costs by cutting down on the number of VMs used.
  C. They can get into a committed use contract with Google Cloud to get a significant discount on the usage of VMs.
  D. They can ask for a sustained use discount.
  C. They can get into a committed use contract with Google Cloud to get a significant discount on the usage of VMs.

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  Compute Engine lets you purchase committed use contracts in return for deeply discounted prices for VM usage. These discounts are referred to as committed use discounts. Committed use discounts are ideal for workloads with predictable resource needs. When you purchase a committed use contract, you purchase Compute Engine resources--such as vCPUs, memory, GPUs, local SSDs, and sole-tenant nodes--at a discounted price in return for committing to paying for those resources for 1 year or 3 years. The discount is up to 57% for most resources like machine types or GPUs. The discount is up to 70% for memory-optimized machine types.

• Question 298:

  What is the typical cloud spending behavior of most organizations?

  A. Decentralized and variable
  B. Centralized and variable
  C. Decentralized and fixed D. Centralized and fixed
  A. Decentralized and variable

• Question 299:

  An organization wants to evaluate the performance of their entire cloud infrastructure, including metrics like server uptime and response rate reports. Which Google Cloud tool should the organi-zation use?

  A. Cloud Trace
  B. Cloud Monitoring
  C. Cloud Profiler
  D. Cloud Debugger
  B. Cloud Monitoring

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  Because Cloud Monitoring enables users to monitor the performance of their entire cloud infrastructure.

• Question 300:

  One of your customers used to have a private data center. While within their data center itself, they were consuming some Google services via API calls and other public, well-known addresses pub-lished by Google. Now they're evacuating their private data center and are moving to Google Cloud. Could they improve some of their existing architecture with respect to security?

  A. Use VPC Peering with the Google Cloud organization so that you can directly use services using only private IPs.
  B. Use private addresses only. No additional configuration is required. All Google services will be accessible within Google Cloud on private addresses.
  C. Use Shared VPCs with the Google Cloud organization so that you can directly use services using only private IPs.
  D. Enable Private Google Access so that they can remove public IP addresses.
  D. Enable Private Google Access so that they can remove public IP addresses.

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  "VM instances that only have internal IP addresses (no external IP addresses) can use Private Google Access. They can reach the external IP addresses of Google APIs and services. f you disable Private Google Access, the VM instances can no longer reach Google APIs and services; they can only send traffic within the VPC network." https://cloud.google.com/vpc/docs/private-google-access