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NEW QUESTION: 1
Stock transfer agent, Bond registrar, stock registrar and dividend reinvestments agent are the additional duties of:
A. None of these
B. Brokers/Brokerage houses
C. Mutual funds agencies
D. Corporate trust departments
Answer: D

NEW QUESTION: 2
You are designing a cloud-native historical data processing system to meet the following conditions:
* The data being analyzed is in CSV, Avro, and PDF formats and will be accessed by multiple analysis tools including Cloud Dataproc, BigQuery, and Compute Engine.
* A streaming data pipeline stores new data daily.
* Peformance is not a factor in the solution.
* The solution design should maximize availability.
How should you design data storage for this solution?
A. Create a Cloud Dataproc cluster with high availability. Store the data in HDFS, and peform analysis as needed.
B. Store the data in a multi-regional Cloud Storage bucket. Access the data directly using Cloud Dataproc, BigQuery, and Compute Engine.
C. Store the data in a regional Cloud Storage bucket. Access the bucket directly using Cloud Dataproc, BigQuery, and Compute Engine.
D. Store the data in BigQuery. Access the data using the BigQuery Connector on Cloud Dataproc and Compute Engine.
Answer: B

NEW QUESTION: 3
What is the incorrect relationship between neural networks and deep learning?
A. Single layer neural networks are also a type of deep learning
B. The concept of deep learning sterns from the study or artificial neural networks.
C. Convolutional neural networks are a type of deep learning.
D. A neural network algorithm with multiple hidden layers is a deep learning algorithm
Answer: A

NEW QUESTION: 4
You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?
A. Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.
B. Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.
C. Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
D. Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
Answer: B