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NEW QUESTION: 1
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis.
What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?
A. De-identify the data with the Cloud Data Loss Prevention API
B. Encrypt all data using elliptic curve cryptography
C. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
D. Hash all data using SHA256
Answer: A
Explanation:
Reference: https://cloud.google.com/solutions/pci-dss-compliance-ingcp# using_data_loss_prevention_api_to_sanitize_data
NEW QUESTION: 2
What type of questions can you add when creating an item evaluation survey?
There are 2 correct answers to this question.
Response:
A. Matching - User chooses a matching value or answer from opposing values
B. Hot Spot - User chooses a particular area of an image
C. One choice - User chooses one correct answer from the list
D. Rating Scale - user chooses a rating from a rating scale
Answer: D
NEW QUESTION: 3
A major finance organisation has engaged your company to set up a large data mining application.
Using AWS you decide the best service for this is Amazon Elastic MapReduce(EMR) which you know uses Hadoop.
Which of the following statements best describes Hadoop?
A. Hadoop is an open source javascript framework
B. Hadoop is 3rd Party software which can be installed using AMI
C. Hadoop is an open source Java software framework
D. Hadoop is an open source python web framework
Answer: C
Explanation:
Amazon EMR uses Apache Hadoop as its distributed data processing engine.
Hadoop is an open source, Java software framework that supports data-intensive distributed applications running on large clusters of commodity hardware. Hadoop implements a programming model named
"MapReduce," where the data is divided into many small fragments of work, each of which may be executed on any node in the cluster.
This framework has been widely used by developers, enterprises and startups and has proven to be a reliable software platform for processing up to petabytes of data on clusters of thousands of commodity machines.
Reference: http://aws.amazon.com/elasticmapreduce/faqs/