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[General] Valid Professional-Cloud-Database-Engineer Cram Materials | Professional-Cloud-D

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【General】 Valid Professional-Cloud-Database-Engineer Cram Materials | Professional-Cloud-D

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The Google Professional-Cloud-Database-Engineer Exam covers a range of topics, including database administration, data analysis, and data management. It also covers the use of various Google Cloud database services, including Cloud SQL, Cloud Spanner, and Cloud Bigtable. The purpose of the exam is to ensure that individuals who hold this certification have a strong understanding of Google Cloud's database services and are able to use them effectively in real-world scenarios.
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Google Professional-Cloud-Database-Engineer exam comprises of multiple choice and scenario-based questions, and it requires a thorough understanding of GCP database services. Professional-Cloud-Database-Engineer exam is designed to test the candidate’s ability to design, develop, and administer GCP databases in a real-world scenario. Professional-Cloud-Database-Engineer Exam is conducted online, and the candidates are given a time limit of 2 hours to complete it. The passing score for the exam is 70%, and the certification is valid for two years.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q126-Q131):NEW QUESTION # 126
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?
  • A. Use Firestore.
  • B. Use Bigtable.
  • C. Use Cloud Spanner.
  • D. Use Cloud SQL for MySQL
Answer: C
Explanation:
Spanner covers the SLA

NEW QUESTION # 127
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?
  • A. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.
  • B. Use Firestore, and rely on automatic serverless scaling.
  • C. Use Bigtable, and add nodes as necessary to achieve the required throughput.
  • D. Use Cloud SQL with read replicas for throughput.
Answer: A

NEW QUESTION # 128
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?
  • A. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
  • B. Use Database Migration Service to migrate your database.
  • C. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
  • D. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
Answer: D
Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database.
+ PgBouncer is a simple PostgreSQLconnection pool that allows for several thousand connections at a time.
Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech- industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank.https://medium.com/google-cloud/ ... sql-postgresql-max- connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%
20bank.

NEW QUESTION # 129
Your organization is currently updating an existing corporate application that is running in another public cloud to access managed database services in Google Cloud. The application will remain in the other public cloud while the database is migrated to Google Cloud. You want to follow Google-recommended practices for authentication. You need to minimize user disruption during the migration. What should you do?
  • A. Ask existing users to set their Google password to match their corporate password.
  • B. Use workload identity federation to impersonate a service account.
  • C. Use Google Workspace Password Sync to replicate passwords into Google Cloud.
  • D. Migrate the application to Google Cloud, and use Identity and Access Management (IAM).
Answer: B
Explanation:
Updating passwords represents user disruption. Eliminate B. Eliminate C for the same reason. D doesn't make sense, leaves A. From Google's documentation, "Traditionally, applications running outside Google Cloud can use service account keys to access Google Cloud resources. However, service account keys are powerful credentials, and can present a security risk if they are not managed correctly. With identity federation, you can use Identity and Access Management (IAM) to grant external identities IAM roles, including the ability to impersonate service accounts. This approach eliminates the maintenance and security burden associated with service account keys." https://cloud.google.com/iam/docs/workload-identity-federation

NEW QUESTION # 130
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?
  • A. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
  • B. Use Memorystore to handle your low-latency requirements and for real-time analytics.
  • C. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.
  • D. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.
Answer: A
Explanation:
Start with the lowest tier and smallest size and then grow your instance as needed. Memorystore provides automated scaling using APIs, and optimized node placement across zones for redundancy. Memorystore for Memcached can support clusters as large as 5 TB, enabling millions of QPS at very low latency

NEW QUESTION # 131
......
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