{"id":23464,"date":"2026-09-28T07:00:11","date_gmt":"2026-09-28T07:00:11","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=23464"},"modified":"2026-09-28T07:00:11","modified_gmt":"2026-09-28T07:00:11","slug":"google-professional-cloud-developer-practice-test-questions-and-exam-dumps-part11-q201-220","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/google-professional-cloud-developer-practice-test-questions-and-exam-dumps-part11-q201-220\/","title":{"rendered":"Google Professional Cloud Developer Practice Test Questions and Exam Dumps Part11 Q201-220"},"content":{"rendered":"<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/professional-cloud-developer-exam-dumps\"><b>Google Professional Cloud Developer Exam Dumps<\/b><\/a><b> and Practice Test Dumps.<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>Question 201<\/b><\/h3>\n<p><b>Which Google Cloud authentication approach is recommended for application code running on a managed Google Cloud service?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hard-coded API key<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Long-lived service account key<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Attached service identity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Password stored in source code<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Application code running on Google Cloud should generally use the service identity associated with its runtime environment rather than embedding long-lived credentials in source code. Google Cloud client libraries can commonly use Application Default Credentials to discover the available identity automatically. The attached service account can then receive only the IAM permissions required by the workload. This reduces credential exposure and simplifies operational management. Developers should avoid storing service account keys or passwords in application code. Least-privilege IAM should also be applied so that the runtime identity cannot access unrelated resources.<\/span><\/p>\n<h3><b>Question 202<\/b><\/h3>\n<p><b>A developer needs to prevent accidental deletion or replacement of a Cloud Storage object when another process has modified it. Which technique is useful?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Object preconditions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bucket labels<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lifecycle policies<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage classes<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Storage object preconditions allow an application to make an operation conditional on the object&#8217;s current generation or metageneration. This provides a mechanism for detecting changes made by another process before an update, replacement, or deletion occurs. For example, an application can require the generation to match the value it previously observed. If another process changed the object, the request fails instead of silently overwriting the newer version. This optimistic concurrency pattern is valuable in distributed applications where multiple workers may operate on the same Cloud Storage objects concurrently.<\/span><\/p>\n<h3><b>Question 203<\/b><\/h3>\n<p><b>A Cloud Run application needs to connect to a private database through a VPC without managing connector instances. Which networking capability should the developer consider?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Public IP routing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Direct VPC egress<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud CDN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">External DNS only<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Direct VPC egress allows supported Cloud Run services to send outbound traffic directly into a VPC network without requiring a separately managed Serverless VPC Access connector. This can simplify networking for applications that need access to private resources such as internal databases or services. Developers must still configure appropriate VPC routes, firewall rules, and destination access. Public IP routing is not the desired approach when the application must reach private resources. Cloud CDN and DNS services address different concerns and do not provide the required private network path by themselves.<\/span><\/p>\n<h3><b>Question 204<\/b><\/h3>\n<p><b>Which Pub\/Sub feature allows a subscription to start processing messages from a previously established point in the subscription&#8217;s message history?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Topic labels<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Message attributes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Subscription seek<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Publisher batching<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Pub\/Sub subscription seek allows a subscriber to move its acknowledgment position so that messages from an earlier point can become available for delivery again, subject to applicable message-retention conditions. This can be useful when developers need to replay events after fixing a consumer application or recovering from an operational issue. Seek can work with subscription snapshots or time-based positions depending on the desired recovery workflow. Developers should understand retention limits and the consequences of replaying events. Consumers should also be designed to tolerate repeated processing because replaying messages can cause application operations to occur again.<\/span><\/p>\n<h3><b>Question 205<\/b><\/h3>\n<p><b>A developer is designing a Cloud Tasks queue for an operation that may temporarily fail because a downstream service is unavailable. What should be configured?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Retry behavior<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage lifecycle<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DNS routing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image scanning<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Tasks retry configuration determines how failed task attempts are handled. For temporary downstream failures, retry settings can allow the task to be attempted again rather than being permanently lost after one unsuccessful request. Developers can configure parameters governing retry frequency and the number of attempts according to the application&#8217;s requirements. Retry behavior should be paired with idempotent task processing because the same logical operation may be attempted more than once. Excessive retries can also overload an unhealthy backend, so developers should select suitable limits and backoff behavior for the workload.<\/span><\/p>\n<h3><b>Question 206<\/b><\/h3>\n<p><b>Which Workflows capability allows independent steps to execute concurrently when their results do not depend on each other?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sequential execution only<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Parallel steps<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secret versions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Log-based metrics<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Workflows supports parallel execution for steps that can safely run at the same time. This can reduce total workflow duration when several operations are independent and do not require the output of another step before starting. Developers must consider whether the called services can handle concurrent requests and whether the operations have side effects that could conflict. Parallel execution should therefore be designed around actual task dependencies rather than simply maximizing concurrency. After the parallel branches complete, the workflow can continue with subsequent logic that depends on their results when appropriate.<\/span><\/p>\n<h3><b>Question 207<\/b><\/h3>\n<p><b>A Firestore application must increment a shared counter safely when many users update it concurrently. Which approach is appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Client-side arithmetic only<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore transaction<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage lifecycle rule<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pub\/Sub filter<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A Firestore transaction is appropriate when an update depends on the current value of a document and concurrent modifications must be handled safely. For a shared counter, the application can read the current value within the transaction, calculate the new value, and write it back. If another transaction changes the document during the operation, Firestore can retry the transaction according to its transaction semantics. This helps prevent lost updates that could occur when multiple clients independently read and overwrite the same value. Developers should also consider contention when designing heavily updated documents.<\/span><\/p>\n<h3><b>Question 208<\/b><\/h3>\n<p><b>Which Cloud SQL capability can allow an application to authenticate to a supported database using IAM identities instead of managing traditional database passwords?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IAM database authentication<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage versioning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pub\/Sub retention<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery partitioning<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud SQL supports IAM database authentication for supported database engines and configurations. This allows authorized identities to authenticate using Google Cloud IAM rather than relying exclusively on traditional database usernames and passwords. It can simplify centralized identity management and reduce the need to distribute static database credentials. Developers must configure the database, Cloud SQL instance, IAM permissions, and application authentication method correctly. IAM database authentication does not eliminate the need for database authorization and proper application security. The exact capabilities and setup requirements depend on the selected Cloud SQL database engine.<\/span><\/p>\n<h3><b>Question 209<\/b><\/h3>\n<p><b>A developer wants a GKE application to remain available while Kubernetes voluntarily evicts Pods during node maintenance. Which resource should be defined?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PodDisruptionBudget<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ConfigMap<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ServiceAccount token<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Horizontal Pod Autoscaler<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A PodDisruptionBudget helps protect application availability during voluntary Pod disruptions. It can specify a minimum number or percentage of Pods that should remain available while Kubernetes performs actions such as node draining. This does not prevent involuntary failures, including sudden hardware or infrastructure problems. Developers should therefore combine PodDisruptionBudgets with adequate replicas, health probes, and suitable scheduling configuration. The objective is to prevent maintenance activities from removing too much application capacity at once. A ConfigMap stores configuration, while an HPA changes replica counts based on resource or custom metrics.<\/span><\/p>\n<h3><b>Question 210<\/b><\/h3>\n<p><b>Which Artifact Registry feature helps automatically remove container images that match defined age, tag, or version retention conditions?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cleanup policies<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Load-balancer rules<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Trace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IAM conditions only<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Artifact Registry cleanup policies provide automated repository maintenance based on configured retention conditions. Developers can use them to remove artifacts that are no longer required, helping prevent repositories from growing indefinitely as CI\/CD pipelines create new versions. Policies can be designed around factors such as artifact age or tag characteristics, depending on the supported configuration. Careful policy design is important because deleting an artifact can affect deployments or rollback workflows that still depend on it. Teams should retain the immutable artifacts required for operational recovery while allowing obsolete development artifacts to be cleaned up.<\/span><\/p>\n<h3><b>Question 211<\/b><\/h3>\n<p><b>A developer wants to expose an API through API Gateway while requiring callers to provide a valid API key. Which feature addresses this requirement?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">API key enforcement<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore transactions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Run Jobs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bigtable garbage collection<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">API Gateway can be configured to require API keys for APIs where usage identification and control through keys are part of the design. An API key can help identify an application or consumer and can work with configured API-management controls such as quotas. Developers should understand that an API key is not a replacement for strong user authentication or authorization when sensitive resources are involved. Depending on the API, additional authentication mechanisms such as JWT-based identity validation may be required. API keys should also be protected from unnecessary exposure in client-side or publicly accessible code.<\/span><\/p>\n<h3><b>Question 212<\/b><\/h3>\n<p><b>A Cloud Build configuration should use different project IDs for development and production without maintaining separate build files. What should the developer use?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Build substitutions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PodDisruptionBudgets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage generations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore indexes<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Build substitutions allow a build configuration to reference parameterized values that can vary between build invocations. A team can therefore maintain one reusable build configuration while supplying different project IDs, image names, environments, or other supported parameters for different deployment contexts. This reduces duplicated configuration and makes CI\/CD workflows easier to maintain. Developers should validate substitution values and ensure that deployment permissions are appropriately restricted for each target environment. Separating environment-specific values from reusable build logic also makes automated triggers easier to manage across development, testing, and production workflows.<\/span><\/p>\n<h3><b>Question 213<\/b><\/h3>\n<p><b>Which Cloud Run setting is most directly related to controlling how much memory is available to each container instance?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ingress<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Memory allocation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Revision traffic<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Authentication<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Run memory allocation determines the amount of memory available to a container instance. Developers should select a memory value that accommodates the application&#8217;s runtime, dependencies, request processing, and expected working set. Insufficient memory can cause containers to terminate when they exceed their available allocation. Memory allocation is separate from CPU allocation, concurrency, ingress, and authentication settings. Increasing memory may also affect the resources assigned to the container according to the selected Cloud Run configuration. Developers should monitor actual application behavior and resource usage rather than selecting a value without considering workload requirements.<\/span><\/p>\n<h3><b>Question 214<\/b><\/h3>\n<p><b>A developer needs to store application secrets while preventing them from appearing directly in source code. Which service should be used?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secret Manager<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Scheduler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Trace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Secret Manager is designed to securely store sensitive values such as passwords, API credentials, certificates, and tokens. Applications can retrieve secrets at runtime using an authorized identity rather than embedding sensitive values directly into source code or container images. Secret Manager also supports secret versions, which can help with credential rotation and controlled updates. Developers should grant the application only the permissions it requires to access specific secrets. Secrets should also be prevented from appearing in logs, build output, configuration repositories, or error messages where unauthorized users might obtain them.<\/span><\/p>\n<h3><b>Question 215<\/b><\/h3>\n<p><b>A developer needs to send a Cloud Tasks request to an HTTP endpoint and wants the request to carry a Google-signed identity token. Which authentication method is appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OIDC<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Basic authentication with a source-code password<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Anonymous access<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Static database credentials<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Tasks supports OIDC authentication for HTTP targets, allowing a task to include an identity token associated with a configured service account. The receiving service can validate the token and authorize the caller based on its identity. This approach avoids placing long-lived passwords or static credentials into task payloads. Developers must ensure that the service account has the required permissions and that the target endpoint validates the token correctly. OIDC authentication is particularly useful for protected service-to-service task delivery where the receiving application should accept requests only from an authorized workload identity.<\/span><\/p>\n<h3><b>Question 216<\/b><\/h3>\n<p><b>Which Google Cloud service is designed to provide managed document-oriented storage for applications that need flexible schemas?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud CDN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Build<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Firestore is a managed NoSQL document database designed for applications that store data as documents organized into collections. Its flexible document model can support application data whose fields may evolve without requiring a traditional relational schema for every change. Firestore also provides querying, transactions, batched writes, and security controls for supported application architectures. Developers should select document structures and indexes based on access patterns because database design strongly influences query efficiency. BigQuery is primarily intended for analytics, while Cloud CDN and Cloud Build address content delivery and software delivery workflows.<\/span><\/p>\n<h3><b>Question 217<\/b><\/h3>\n<p><b>A Bigtable application experiences high latency because many writes target adjacent row keys. What design change can help distribute requests more evenly?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use a monotonically increasing timestamp as the entire key<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use a distributed row-key design<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Remove all row keys<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Store every record in one row<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Bigtable performance can suffer when application traffic concentrates on a narrow range of row keys. A distributed row-key design can spread reads and writes across the keyspace and reduce hotspotting. Developers should avoid patterns that cause large numbers of recent writes to cluster around adjacent keys, such as relying solely on monotonically increasing timestamps when that conflicts with the workload&#8217;s access pattern. A well-designed row key should support required queries while distributing workload effectively. Row-key design is especially important in high-throughput applications because poor distribution can create localized performance bottlenecks.<\/span><\/p>\n<h3><b>Question 218<\/b><\/h3>\n<p><b>A Cloud Storage bucket contains temporary objects that should automatically be removed after a defined period. Which feature should be configured?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lifecycle management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">API Gateway<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Trace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IAM custom role only<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Storage lifecycle management allows developers to define rules that automatically perform actions on objects when specified conditions are met. For temporary application data, a lifecycle rule can delete objects after they reach a defined age, helping control storage growth without requiring application code to remove every object manually. Lifecycle policies can also support other storage-management actions where appropriate. Developers should ensure that the selected conditions do not delete objects that remain necessary for business, compliance, or recovery purposes. Lifecycle management is therefore useful for predictable cleanup of temporary or obsolete data.<\/span><\/p>\n<h3><b>Question 219<\/b><\/h3>\n<p><b>A developer wants to define a reusable set of permissions for an application-specific role rather than assigning broad predefined roles. Which IAM feature can be used?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Custom roles<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage classes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pub\/Sub snapshots<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery partitions<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">IAM custom roles allow organizations to create role definitions containing a selected set of permissions appropriate for a particular application or operational requirement. This can support least-privilege access when predefined roles provide more permissions than the workload actually needs. Developers and administrators should verify that the required permissions are supported in custom roles and review the role periodically as application requirements change. Custom roles should not be created unnecessarily when a suitable predefined role already provides the correct scope. Careful permission selection helps reduce the potential impact of compromised identities.<\/span><\/p>\n<h3><b>Question 220<\/b><\/h3>\n<p><b>A Cloud Run service should not receive traffic immediately when a new revision is deployed because the team wants to validate it first. Which deployment approach supports this requirement?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deploy the revision without directing production traffic to it<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Delete the previous revision immediately<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Disable all authentication<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Increase request concurrency<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Run supports deploying a new revision without immediately directing production traffic to it. This allows developers to validate the revision before changing the service&#8217;s live traffic allocation. After testing is complete, traffic can be shifted according to the deployment strategy, such as directing a selected percentage or all traffic to the validated revision. Keeping the previous revision available can also provide a straightforward rollback path if problems are discovered. This separation between deployment and traffic assignment helps teams perform controlled releases while reducing the risk of exposing unverified application changes to users.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Google Professional Cloud Developer Exam Dumps and Practice Test Dumps. &nbsp; Question 201 Which Google Cloud authentication approach is recommended for application code running on a managed Google Cloud service? Hard-coded API key Long-lived service account key Attached service identity Password stored in source code Correct Answer: 3 Explanation Application code running on [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23464"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=23464"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23464\/revisions"}],"predecessor-version":[{"id":23465,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23464\/revisions\/23465"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=23464"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=23464"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=23464"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}