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Google Cloud Digital Leader Certification Exam is designed for professionals who are interested in pursuing a career in digital transformation or who are responsible for leading digital initiatives in their organizations. This includes IT managers, business executives, data analysts, and other professionals who want to gain a deep understanding of cloud computing and its potential applications in their industries.
Google Cloud Digital Leader Certification Exam covers a wide range of topics, including cloud computing fundamentals, Google Cloud Platform services, data analytics, machine learning, and artificial intelligence. It also tests an individual's ability to design and implement digital transformation strategies and manage change within an organization.
NEW QUESTION # 114
Considering Different Storage and database options e.g. Cloud Datastore, Cloud SQL, Cloud Stor-age, etc. Which of the following statements is/are correct? ( Select two answer)
- A. Cloud Bigtable and Cloud Storage both have not Petabytes + capacity.
- B. Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respec-tively.
- C. Cloud Bigtable and Cloud Storage both have Petabytes + capacity.
- D. None of the above.
Answer: B,C
NEW QUESTION # 115
Your organization stores highly sensitive data on-premises that cannot be sent over the public internet. The data must be processed both on-premises and in the cloud.
What should your organization do?
- A. Create a Cloud VPN tunnel between Google Cloud and your data center
- B. Configure Identity-Aware Proxy (IAP) in your Google Cloud VPC network
- C. Enable Private Google Access in your Google Cloud VPC network
- D. Order a Partner Interconnect connection with your network provider
Answer: D
Explanation:
Explanation
After the service provider provisions your connection, you can start passing traffic between your networks by using the service provider's network.
Reference: https://cloud.google.com/network-connectivity/docs/interconnect/concepts/partner-overview
NEW QUESTION # 116
You have deployed a new public web application that allows users to register and login with email ids, phone numbers, or user ids. You are seeing some unusual activity with user registrations and logins from a few IPs. A large number of accounts were created very quickly. Logins are also hap-pening quickly thereafter from these new accounts. Different parts of the application are being ex-plored, all of which are putting a heavy load on the application. What could be a problem and how can you solve it?
- A. Automated testing tools might still be running and creating accounts. Use Identity-Aware Proxy to restrict the users to known users.
- B. A hacker group has hired a bunch of people to create accounts and manually use the system. Use Cloud Asset Inventory to see if there have been changes in the inventory.
- C. Bots are creating accounts and then using them. Use Identity-Aware Proxy to re-strict the users to known users.
- D. Bots are creating accounts and then using them. Use Google Cloud's Web App and API Protection (WAAP).
Answer: D
Explanation:
Bots attacking the application is the most likely scenario in this case. Using WAAP is the right protection plan: Anti-DDoS, anti-bot, WAF, and API protection help you protect against new and existing threats while helping you keep your apps and APIs compliant and continuously available.
https://cloud.google.com/solutions/web-app-and-api-protection
NEW QUESTION # 117
Your company security team manages access control to production systems using an LDAP directory group.
How is this access control managed in the Google Cloud production project?
- A. Assign the proper role to the Service Account in the project's 1AM Policy
- B. Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.
- C. Create the project in a folder with the same name as the LDAP directory group.
- D. Assign the proper role to the Google Group in the project's 1AM Policy.
Answer: D
NEW QUESTION # 118
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 are automatically transferred to the standby instance.
- B. None of the Above.
- C. 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.
- D. 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.
Answer: D
Explanation:
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).
NEW QUESTION # 119
A customer of yours has an SLA with their client that a particular service will respond within 4 sec-onds. The end client has reported that it feels slower. Your engineers do a trial at the client site and notice that there seems to be a delay for many of the requests. It's your team's responsibility to iden-tify the issue quickly within the strict timeline for fixes according to the contract, and then fix it. What should you do?
- A. Check if the browsers used by the client are different from yours. If they are, that's most likely the issue. Ensure that everybody uses the latest version of the browser that you are also using.
- B. Recommend a move to serverless technologies which will scale automatically on demand.
- C. Use Cloud Trace to collect latency data and track how requests propagate and why there is a delay.
- D. Add logging statements at multiple points in the application, build it, and deploy it. Now new requests will give us information on latency in the logs.
Answer: C
Explanation:
Cloud Trace is a built-in tool in the Operations suite to identify issues like latency.
-> Such fixes are unlikely to change core issues like the service itself being architected or written sub-optimally. Though changes like browser, networking, etc. are helpful, it would be the wrong approach to first recommend that the customer upgrade all their hardware and software.
-> Rewriting code and logging information is going to be time consuming. In general though, logging should always be included in code and it can give good insights. But tracing is way more specific and comprehensive for this requirement.
-> In certain cases, we might identify scaling as the issue. But we should first identify the core problem. So, start with tracing. We can also achieve scale in server-ful technologies.
Reference link- https://cloud.google.com/trace
NEW QUESTION # 120
An organization is struggling to keep up with the growth of their application which is running on legacy infrastructure.
What might be holding them back?
- A. The time it takes their serverless compute function to scale
- B. The cost of provisioning hardware for peak usage
- C. The inaccessibility of their data due to perimeter security
- D. The overreliance on platform as a service
Answer: B
Explanation:
Explanation
Legacy infrastructure is typically based on on-premises hardware that is managed and maintained by the organization. As the application grows and the user base expands, the hardware required to support it must also grow. This can lead to significant costs associated with provisioning and maintaining hardware, particularly if the organization needs to provision for peak usage.
NEW QUESTION # 121
Your organization needs to analyze data in order to gather insights into its daily operations. You only want to pay for the data you store and the queries you perform. Which Google Cloud product should your organization choose for its data analytics warehouse?
- A. Dataproc
- B. BigQuery
- C. Cloud Spanner
- D. Cloud SQL
Answer: B
Explanation:
Explanation
BigQuery is an enterprise data warehouse for large amounts of relational structured data Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
NEW QUESTION # 122
While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?
- A. Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.
- B. Migrate to Bigtable which provides high throughput reads and writes.
- C. Migrate to Cloud Spanner as a globally scalable SQL database.
- D. Migrate to BigQuery as a central data warehouse.
Answer: D
Explanation:
BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.
NEW QUESTION # 123
Your client has an on-premises data center. Due to technical limitations, they are unable to scale globally. They have decided to adopt the public cloud. However, they don't want to locked into any one vendor and, therefore, would like to work with multiple cloud providers. They have used open source container technologies and would like to continue using them.
- A. Kubernetes that runs containers as their core workloads
- B. Cloud Run which supports containers and can scale in a serverless fashion
- C. Anthos that runs containers as their core workloads
- D. AppEngine Flexible Environment which supports containers
Answer: C
Explanation:
Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.
NEW QUESTION # 124
Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?
- A. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.
- B. Create reservations on Compute Engine and BigQuery.
- C. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.
- D. Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.
Answer: B
Explanation:
Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.
=> There is no need for involved support. It is self-serve via the console.
=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.
References:
https://cloud.google.com/compute/docs/instances/reserving-zonal-resources
https://cloud.google.com/bigquery/docs/reservations-intro
NEW QUESTION # 125
In terms of Cloud SQL for MySQL Features offered by Google Cloud Platform which of the statements is/are correct?
- A. Do not Provide automated and on-demand backups and point-in-time recovery.
- B. Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
- C. None of the above
- D. Do not support Private IP (private service access).
Answer: B
Explanation:
Explanation
Cloud SQL for MySQL:
Features
- Fully managed MySQL Community Edition databases in the cloud.
- Cloud SQL instances support MySQL 8.0, 5.7 (default), and 5.6, and provide up to 624 GB of RAM and 64 TB of data storage, with the option to automatically increase the storage size, as needed.
- Create and manage instances in the Google Cloud Console.
- Instances are available in the Americas, EU, Asia, and Australia.
- Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
- Support for secure external connections with the Cloud SQL Auth proxy or with the SSL/TLS protocol.
- Support for private IP (private services access).
- Data replication between multiple zones with automatic failover.
- Import and export databases using mysqldump, or import and export CSV files.
- Support for MySQL wire protocol and standard MySQL connectors.
- Automated and on-demand backups and point-in-time recovery.
- Instance cloning.
- Integration with Google Cloud's operations suite logging and monitoring.
NEW QUESTION # 126
An organization decides to migrate their on-prenwses environment to the cloud They need to determine which resource components still need to be assigned ownership Which two functions does a public cloud provider own? (Choose 2) Choose 2 answers
- A. Hardware capacity management
- B. Infrastructure architecture
- C. Hardware maintenance
- D. Fixing application security issues
- E. Infrastructure deployment automation
Answer: A,C
NEW QUESTION # 127
An organization wants to collect metrics and metadata from their cloud applications and put them into dashboards.
Which Google Cloud tool should they use?
- A. Cloud Trace
- B. Cloud Monitoring
- C. Cloud Logging
- D. Cloud Debugger
Answer: B
Explanation:
https://cloud.google.com/monitoring
NEW QUESTION # 128
An organization has created an ecommerce website. What data on this website would be considered structured data?
- A. Product photographs
- B. Product ratings score
- C. Product reviews
- D. Product descriptions
Answer: B
Explanation:
Explanation
Because product ratings are structured because they are numerical scores.
NEW QUESTION # 129
Your team is using BigQuery as your central data warehouse. You are running a certain workload that you've run frequently over the last few days. It is a short, high capacity ana-lytics workload. Which of the following would be an appropriate pricing model to use?
- A. Flex Slots
- B. There is no need for any pricing model the first 1 TB of query data processed per month is free.
- C. On-demand pricing
- D. Flat-rate reservations
Answer: A
Explanation:
Option A is Correct- BigQuery Flex Slots for cyclical workloads that require extra capacity, or for workloads that need to process a lot of data in a short time, and so would be less expensive to run using reserved slots for a short time.
NEW QUESTION # 130
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