You are choosing a NoSQL database to handle telemetry data submitted from millions of Internet-of-Things (IoT) devices. The volume of data is growing at 100 TB per year, and each data entry has about 100 attributes. The data processing pipeline does not require atomicity, consistency, isolation, and durability (ACID). However, high availability and low latency are required. You need to analyze the data by querying against individual fields. Which three databases meet your requirements? (Choose three.)

• A.MySQL
• B.MongoDB
• C.Redis
• D.Cassandra
• E.HDFS with Hive
• F.HBase

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You are operating a streaming Cloud Dataflow pipeline. Your engineers have a new version of the pipeline with a different windowing algorithm and triggering strategy. You want to update the running pipeline with the new version. You want to ensure that no data is lost during the update. What should you do?

• A.Update the Cloud Dataflow pipeline inflight by passing the --update option with the --jobName set to the existing job name
• B.Update the Cloud Dataflow pipeline inflight by passing the --update option with the --jobName set to a new unique job name
• C.Stop the Cloud Dataflow pipeline with the Cancel option. Create a new Cloud Dataflow job with the updated code
• D.Stop the Cloud Dataflow pipeline with the Drain option. Create a new Cloud Dataflow job with the updated code

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You need to migrate a Redis database from an on-premises data center to a Memorystore for Redis instance.
You want to follow Google-recommended practices and perform the migration for minimal cost. time, and effort. What should you do?

• A.Make a secondary instance of the Redis database on a Compute Engine instance, and then perform a live cutover.
• B.Write a shell script to migrate the Redis data, and create a new Memorystore for Redis instance.
• C.Create a Dataflow job to road the Redis database from the on-premises data center. and write the data to a Memorystore for Redis instance
• D.Make an RDB backup of the Redis database, use the gsutil utility to copy the RDB file into a Cloud Storage bucket, and then import the RDB tile into the Memorystore for Redis instance.

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You are developing a new deep teaming model that predicts a customer's likelihood to buy on your ecommerce site. Alter running an evaluation of the model against both the original training data and new test data, you find that your model is overfitting the data. You want to improve the accuracy of the model when predicting new data. What should you do?

• A.Increase the size of the training dataset, and increase the number of input features.
• B.Increase the size of the training dataset, and decrease the number of input features.
• C.Reduce the size of the training dataset, and increase the number of input features.
• D.Reduce the size of the training dataset, and decrease the number of input features.

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Which of the following IAM roles does your Compute Engine account require to be able to run pipeline jobs?

• A.dataflow.worker
• B.dataflow.compute
• C.dataflow.developer
• D.dataflow.viewer

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