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NEW QUESTION: 1
A developer must create a ShippingCalculator class that cannot be instantiated and must include a working default implementation of a calculate method, that sub-classes can override. What is the correct implementation of the ShippingCalculator class?
A. Public abstract class ShippingCalculator {
public override calculate() { /*implementation*/ }
}
B. Public abstract class ShippingCalculator {
public virtual void calculate() { /*implementation*/ }
}
C. Public abstract class ShippingCalculator {
public abstract calculate() { /*implementation*/ }
}
D. Public abstract class ShippingCalculator {
public void calculate() { /*implementation*/ }
}
the extending class can override the existing virtual methods by using the override keyword in the method definition. Overriding a virtual method allows you to provide a different implementation for an existing method https://developer.salesforce.com/docs/atlas.en-us.apexcode.meta/apexcode/apex_classes_extending.htm
Answer: B
NEW QUESTION: 2
You are deploying an application to track GPS coordinates of delivery in the United States.
Coordinates are transmitted from each delivery truck once every three seconds. You need to design an architecture that will enable realtime processing of these coordinates from multiple consumers. Which service should you use to implement data ingestion?
A. AWS Data Pipeline
B. Amazon AppStream
C. Amazon Simple Queue Service
D. Amazon Kinesis
Answer: D
NEW QUESTION: 3
A Windows 7 desktop PC has crashed (i.e. BSOD) several times indicating a possible RAM problem. Which of the following is an OS built-in tool that can be used to test this problem?
A. Windows Memory Diagnostic
B. MSCONFIG
C. Windows System File Checker
D. Windows System Restore
Answer: A
Explanation:
Reference:
http://howto.cnet.com/8301-11310_39-57569731-285/test-your-ram-with-windows-memory-diagnostic-tool/
NEW QUESTION: 4
A Machine Learning Specialist must build out a process to query a dataset on Amazon S3 using Amazon Athena. The dataset contains more than 800,000 records stored as plaintext CSV files.
Each record contains 200 columns and is approximately 1.5 MB in size. Most queries will span 5 to 10 columns only.
How should the Machine Learning Specialist transform the dataset to minimize query runtime?
A. Convert the records to GZIP CSV format.
B. Convert the records to XML format.
C. Convert the records to Apache Parquet format.
D. Convert the records to JSON format.
Answer: C
Explanation:
Using compressions will reduce the amount of data scanned by Amazon Athena, and also reduce your S3 bucket storage. It's a Win-Win for your AWS bill. Supported formats: GZIP, LZO, SNAPPY (Parquet) and ZLIB.
https://www.cloudforecast.io/blog/using-parquet-on-athena-to-save-money-on-aws/