CCNA Cdl Google Cloud Products Questions — Page 3 of 3

151

MCQhard

An engineer is deploying a globally distributed application that requires strong consistency across multiple continents with a 99.999% uptime SLA. The data model is relational with SQL queries. Which database service should they use?

A.Cloud Spanner

B.Firestore in multi-region mode

C.Cloud SQL with cross-region replication

D.Bigtable with replication

AnswerA

Spanner offers strong consistency, global distribution, and 99.999% SLA. It is the only choice for globally consistent relational data.

Why this answer

Cloud Spanner is the only Google Cloud database that provides globally distributed, strongly consistent relational data with a 99.999% SLA.

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152

MCQhard

A data engineering team is building a streaming pipeline that ingests clickstream events from a website, processes them in real-time (e.g., aggregations, filtering), and loads the results into BigQuery for analysis. They also need the ability to replay events in case of failures. Which combination of services is MOST appropriate for the streaming ingestion and processing?

A.Cloud Storage and Cloud Functions

B.Pub/Sub and Cloud Dataflow

C.Pub/Sub and Cloud Functions

D.Apache Kafka on Compute Engine

AnswerB

Pub/Sub provides reliable, scalable message ingestion with replay, and Dataflow processes streams in real-time with exactly-once semantics.

Why this answer

Pub/Sub for ingestion allows event replay (by setting a subscription's retention), and Dataflow for stream processing handles real-time transformations and writes to BigQuery.

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153

MCQmedium

An organization needs to store archival data that must be retained for 10 years and is accessed less than once a year. Which Cloud Storage class offers the lowest storage cost?

A.Archive

B.Standard

C.Coldline

D.Nearline

AnswerA

Archive is the cheapest option for data accessed less than once a year, with 365-day minimum storage.

Why this answer

Archive storage is the lowest-cost storage class for long-term retention, with a 365-day minimum storage duration and higher retrieval costs.

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154

MCQeasy

What is the primary purpose of Google Cloud Armor?

A.To accelerate content delivery globally

B.To protect applications from DDoS attacks and application-level threats

C.To provide outbound internet connectivity to private instances

D.To manage virtual private cloud networking

AnswerB

Cloud Armor is a WAF and DDoS protection service for applications behind Cloud Load Balancing.

Why this answer

Cloud Armor is a web application firewall (WAF) that provides DDoS protection and security rules to protect applications distributed across Google Cloud. Cloud CDN accelerates content, Cloud NAT provides outbound internet access, and VPC is for virtual networking.

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155

MCQhard

An organization runs a multi-region web application behind a global external HTTP(S) load balancer. They want to protect against DDoS attacks and filter traffic based on IP reputation and request headers. Which service should they integrate with the load balancer?

A.Cloud Armor

B.Cloud CDN

C.VPC firewall rules

D.Cloud NAT

AnswerA

Cloud Armor is the security service for load balancers, offering WAF and DDoS protection.

Why this answer

Cloud Armor provides WAF and DDoS protection, including IP blacklisting/whitelisting, rate limiting, and custom rules. Cloud CDN caches content, Cloud NAT provides outbound connectivity, and VPC Firewall rules are for network-level filtering inside VPC.

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156

MCQmedium

A company has a batch processing job that runs once per day and can be interrupted without significant impact. They want to reduce costs by using Google Cloud infrastructure. Which compute option should they choose?

A.Standard persistent disk

B.Preemptible VMs

C.Sustained use discounts

D.Custom machine types

AnswerB

Preemptible VMs are low-cost, short-lived instances suitable for batch workloads that can tolerate interruptions.

Why this answer

Preemptible VMs offer significant cost savings (up to 60-91% discount) but can be terminated at any time by Google. They are ideal for fault-tolerant batch jobs. Spot VMs are similar but with a newer pricing model (no maximum runtime).

Both are good, but Preemptible is the classic answer. Custom machine types are not cost-saving by themselves; standard VMs are more expensive.

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157

MCQmedium

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

A.BigQuery

B.Cloud Bigtable

C.Cloud Spanner

D.Firestore

AnswerB

Bigtable is the correct choice: wide-column NoSQL, designed for time-series and IoT workloads, single-digit ms latency, and scales to millions of QPS with additional nodes.

Why this answer

Cloud Bigtable is designed for exactly this use case — petabyte-scale, low-latency (single-digit ms), high-throughput NoSQL storage for time-series, IoT, and financial data. It scales horizontally by adding nodes. BigQuery is optimised for analytics (seconds-to-minutes latency), Cloud SQL is for OLTP (limited to tens of thousands of QPS), and Firestore is for document data with hierarchical structure.

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158

Multi-Selectmedium

A company uses Cloud Functions to process events from Pub/Sub. Which TWO statements about this architecture are correct? (Choose two.)

Select 2 answers

A.Cloud Functions must be associated with a VPC to access Pub/Sub.

B.Cloud Functions can acknowledge messages automatically upon successful execution.

C.Cloud Functions can be triggered by a Pub/Sub subscription.

D.Cloud Functions can run for up to 60 minutes per invocation.

E.Cloud Functions can be used to pull messages from a Pub/Sub subscription synchronously.

AnswersB, C

Cloud Functions automatically acknowledges messages on success.

Why this answer

Cloud Functions can be triggered by Pub/Sub messages. The functions scale automatically based on the number of messages, and they are stateless and short-lived.

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159

MCQeasy

Which Google Cloud service provides a fully managed, scalable data warehouse for running SQL queries on petabyte-scale data and supports BI tools like Looker?

A.BigQuery

B.Cloud SQL

C.Cloud Storage

D.Dataflow

AnswerA

BigQuery is a serverless, highly scalable data warehouse that supports SQL queries on petabytes of data and integrates with BI tools like Looker.

Why this answer

BigQuery is a serverless data warehouse that scales to petabytes and uses SQL for analytics. Cloud SQL is for OLTP, Cloud Storage is object storage, and Dataflow is for data processing pipelines.

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160

MCQmedium

A startup is building a mobile app and needs to store user profiles and preferences. The data is hierarchical and the app requires real-time synchronization across devices. Which Google Cloud database should they use?

A.Cloud Spanner

B.Firestore

C.Cloud Bigtable

D.Cloud SQL

AnswerB

Firestore offers real-time sync, offline support, and hierarchical documents perfect for mobile apps.

Why this answer

Firestore is a NoSQL document database designed for mobile apps, with real-time sync and offline support. Cloud SQL and Spanner are relational, not ideal for hierarchical data. Bigtable is for time-series/analytics, not mobile app data.

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161

MCQeasy

What is the primary benefit of using preemptible VMs on Compute Engine?

A.Support for live migration

B.Higher performance than standard VMs

C.Guaranteed availability of resources

D.Cost savings for fault-tolerant workloads

AnswerD

Preemptible VMs offer up to 80% discount, suitable for batch jobs and stateless apps.

Why this answer

Preemptible VMs are significantly cheaper than standard VMs but can be terminated at any time. They are ideal for fault-tolerant, batch workloads.

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162

MCQeasy

A startup is building a mobile app and needs a real-time database that synchronises data across user devices automatically. The data model is document-based, and the app needs offline support. Which database should they use?

A.Cloud Bigtable

B.Cloud SQL

C.Firestore

D.Memorystore

AnswerC

Firestore provides real-time sync, offline persistence, and a document model perfect for mobile apps.

Why this answer

Firestore is a NoSQL document database designed for mobile and web apps with real-time synchronization, offline support, and automatic multi-device sync. Cloud SQL is relational and not designed for mobile offline sync. Bigtable is for time-series.

Memorystore is a cache.

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