An aerospace company uses a proprietary data format to store its night data. You need to connect this new data source to BigQuery and stream the data into BigQuery. You want to efficiency import the data into BigQuery where consuming as few resources as possible. What should you do?

• A.Write a she script that triggers a Cloud Function that performs periodic ETL batch jobs on the new data source
• B.Use an Apache Beam custom connector to write a Dataflow pipeline that streams the data into BigQuery in Avro format
• C.Use Apache Hive to write a Dataproc job that streams the data into BigQuery in CSV format
• D.Use a standard Dataflow pipeline to store the raw data m BigQuery and then transform the format later when the data is used

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Which of these are examples of a value in a sparse vector? (Select 2 answers.)

• A.[0, 5, 0, 0, 0, 0]
• B.[0, 0, 0, 1, 0, 0, 1]
• C.[0, 1]
• D.[1, 0, 0, 0, 0, 0, 0]

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Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible.
They also want to be able to persist data beyond the life of the cluster. What should you do?

• A.Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
• B.Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
• C.Create a Google Cloud Dataflow job to process the data.
• D.Create a Hadoop cluster on Google Compute Engine that uses persistent disks.
• E.Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.

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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.Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instances. Install the Cloud Storage connector, and store the data in Cloud Storage. Change references in scripts from hdfs:// to gs://
• B.Deploy a Cloud Dataproc cluster. Use an SSD persistent disk and 50% preemptible workers. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
• C.Deploy a Cloud Dataproc cluster. Use a standard persistent disk and 50% preemptible workers. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
• D.Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances. Store data in HDFS. Change references in scripts from hdfs:// to gs://

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When running a pipeline that has a BigQuery source, on your local machine, you continue to get permission denied errors. What could be the reason for that?

• A.Your gcloud does not have access to the BigQuery resources
• B.BigQuery cannot be accessed from local machines
• C.You are missing gcloud on your machine
• D.Pipelines cannot be run locally

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