Huawei spoto sure Pass Exam H13-723_v2 0 Pdf by Freja q316 vce pdf

Page: 16 / 19

Exam Name:	HCIP-Big Data Developer V2.0
Exam Code:	H13-723_V2.0 Dumps
Vendor:	Huawei	Certification:	HCIP-Big Data
Questions:	526 Q&A's	Shared By:	freja

Question 64

existHBaseIn table design, it is common to multiple businessesrowkey, what are the possible countermeasures for situations that lead to data access contradictions?

slightly? (multiple choice)

Options:

compromise method (rowkeyDesign takes into accountAandBbusiness needs)

Redundancy method (use space for time factory efficiency)

Create secondary index

pre-scoreregion

Discussion

Question 65

FusionInsight HD assuming a topology that setsspoutConcurrency is3,bot1Concurrency is 2,bot2Concurrency is3,workerThe number is2,Sobol1ofexecutorexistworkerHow is it distributed?

Options:

twoworkerone of theworkerdistribute two

twoworkerone for each

no fixed rules

Discussion

Cecilia

Yes, I passed my certification exam using Cramkey Dumps.

Helena Jan 21, 2026

Great. Yes they are really effective

Robin

Cramkey is highly recommended.

Jonah Jan 6, 2026

Definitely. If you're looking for a reliable and effective study resource, look no further than Cramkey Dumps. They're simply wonderful!

Rae

I tried using Cramkey dumps for my recent certification exam and I found them to be more accurate and up-to-date compared to other dumps I've seen. Passed the exam with wonderful score.

Rayyan Jan 15, 2026

I see your point. Thanks for sharing your thoughts. I might give it a try for my next certification exam.

Inaaya

Are these Dumps worth buying?

Fraser Jan 15, 2026

Yes, of course, they are necessary to pass the exam. They give you an insight into the types of questions that could come up and help you prepare effectively.

Question 66

existSparkIn application development, which of the following codes can correctly count words?

Options:

val counts=textFile.map(line=>line.split(" ')).map(-rd=>(word,1)).reduceByKey(_+_)

val counts=textFile.flatMap(line=>line.split(" ")).map(word=>(word,1)).reduceByKey(_+_)

val counts=textFile.map(line=>line.split(" ")).map(word=>(word,1)).groupByKey()

val counts=textFile.flatmap(line=>line.split(" ")).map(-rd=>(word,1)).reduceByKey()

Discussion

Question 67

HDFSclient withNWhen a copy writes a file, which of the following is true about the writing process?

(multiple choice)

Options: