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NEW QUESTION 27
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. Cassandra
• B. Redis
• C. HBase
• D. MongoDB
• E. MySQL
• F. HDFS with Hive

Answer: C,D,F

Explanation:
Explanation/Reference:

NEW QUESTION 28
Your neural network model is taking days to train. You want to increase the training speed. What can you do?

• A. Subsample your training dataset.
• B. Increase the number of input features to your model.
• C. Subsample your test dataset.
• D. Increase the number of layers in your neural network.

Answer: D

Explanation:
Explanation/Reference:
Reference: https://towardsdatascience.com/how-to-increase-the-accuracy-of-a-neural-network-
9f5d1c6f407d

NEW QUESTION 29
You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

• A. Create a table on Cloud Spanner, and insert and delete rows with the job information
• B. Create an API using App Engine to receive and send messages to the applications
• C. Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
• D. Create a table on Cloud SQL, and insert and delete rows with the job information

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/appengine/docs/standard/go/mail/sending-receiving-with-mail-api

NEW QUESTION 30
You want to optimize your queries for cost and performance. How should you structure your data?

• A. Partition table data by create_date, location_id and device_version
• B. Partition table data by create_date cluster table data by location_Id and device_version
• C. Cluster table data by create_date location_id and device_version
• D. Cluster table data by create_date partition by locationed and device_version

Answer: B

NEW QUESTION 31
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