You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

• A. Cloud Bigtable
• B. Cloud Spanner
• C. Cloud SQL
• D. Cloud Datastore

You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

• A. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
• B. Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
• C. Use an SSD persistent disk and 50% preemptible worker
• D. Change references in scripts from hdfs:// to gs://
• E. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
• F. Change references in scripts from hdfs:// to gs://
• G. Use a standard persistent disk and 50% preemptible worker
• H. Install the Cloud Storage connector, and store the data in Cloud Storag
• I. Deploy a Cloud Dataproc cluste
• J. Deploy a Cloud Dataproc cluste
• K. Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance

You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?

• A. Use the service account's private key to access the dataset
• B. Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
• C. Create groups for your users and give those groups access to the dataset
• D. Create a service account and grant dataset access to that accoun
• E. Create a dummy user and grant dataset access to that use
• F. Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset

Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

• A. A non-sequential numeric ID
• B. A sequential numeric ID
• C. A stock symbol followed by a timestamp
• D. A timestamp followed by a stock symbol

설명: (Fast2test 회원만 볼 수 있음)

You want to migrate an on-premises Hadoop system to Cloud Dataproc. Hive is the primary tool in use, and the data format is Optimized Row Columnar (ORC). All ORC files have been successfully copied to a Cloud Storage bucket. You need to replicate some data to the cluster's local Hadoop Distributed File System (HDFS) to maximize performance. What are two ways to start using Hive in Cloud Dataproc? (Choose two.)

• A. Then run the Hadoop utility to copy them do HDF
• B. Replicate external Hive tables to the native ones.
• C. Leverage BigQuery connector for Hadoop to mount the BigQuery tables as external Hive table
• D. Load the ORC files into BigQuer
• E. Mount the Hive tables locally.
• F. Mount the Hive tables locally.
• G. Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to HDF
• H. Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to any node of the Dataproc cluste
• I. Leverage Cloud Storage connector for Hadoop to mount the ORC files as external Hive table
• J. Replicate external Hive tables to the native ones.
• K. Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to the master node of the Dataproc cluste
• L. Mount the Hive tables from HDFS.