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NEW QUESTION: 1
In the tenth year of "Double Eleven", it has evolved into a national carnival for all e-commerce platforms.
Which of the following services can be applied to e-commerce "promotion" and "purchase" scenarios?
A. Cloud performance test CPTS: One-stopperformance test solutionDiscover system bottlenecks. Correct
B. Cloud Container Engine CCE: Flexible elastic scaling strategy to cope with changing sudden surges.
C. Application Performance Management APM: Provides end-to-cloud application performance tracking capabilities, through application panoramic topology, real-time monitoring and rapid fault diagnosis.
D. Microservice engine CSE: Support microservice interface level SLA
Indicator monitoring and governance (load balancing, automatic fault tolerance, service degradation, and service current limit) to ensure continuous application operation.
Answer: A,B,C,D

NEW QUESTION: 2
The project manager has noticed a vendor is not performing in accordance with the SLA.
Which of the following items should the project manager use to highlight the vendor's areas of poor performance?
A. PERT
B. Balanced score card
C. Post-project evaluation
D. WBS
Answer: B
Explanation:
References: Kim Heldman, CompTIA Project+ Study Guide, 2nd Edition, Sybex, Indianapolis, 2017, p. 332

NEW QUESTION: 3
Barney imports a WSDL file into a LotusScript script library, which generates code to call the Web service methods defined by the WSDL file.
Where can he use this script library?
A. Only in agents that run on the server
B. Only in agents
C. Anywhere that LotusScript can be used
D. Only in agents and form or view actions
Answer: C

NEW QUESTION: 4

A. STORED AS RCFILE
B. STORED AS TEXTFILE
C. STORED AS GZIP
D. STORED AS ORC
Answer: D
Explanation:
Explanation
The Optimized Row Columnar (ORC) file format provides a highly efficient way to store Hive data. It was designed to overcome limitations of the other Hive file formats. Using ORC files improves performance when Hive is reading, writing, and processing data.
Compared with RCFile format, for example, ORC file format has many advantages such as:
* a single file as the output of each task, which reduces the NameNode's load
* Hive type support including datetime, decimal, and the complex types (struct, list, map, and union)
* light-weight indexes stored within the file
* skip row groups that don't pass predicate filtering
* seek to a given row
* block-mode compression based on data type
* run-length encoding for integer columns
* dictionary encoding for string columns
* concurrent reads of the same file using separate RecordReaders
* ability to split files without scanning for markers
* bound the amount of memory needed for reading or writing
* metadata stored using Protocol Buffers, which allows addition and removal of fields