Title: SDS Exam Simulation: Senior Data Scientist & SDS Certification Training [Print This Page] Author: nathani238 Time: yesterday 00:22 Title: SDS Exam Simulation: Senior Data Scientist & SDS Certification Training BTW, DOWNLOAD part of Actual4Exams SDS dumps from Cloud Storage: https://drive.google.com/open?id=1U3mC-LC9Do65FLxlRcWJkP8Gx7kceQRk
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The DASCA SDS Certification Exam is one of the top-rated career advancement certifications in the market. With the Senior Data Scientist SDS certification exam everyone can validate their skills and knowledge after passing the SDS text. The DASCA Senior Data Scientist certification exam will recognize your expertise and knowledge in the market. You will get solid proof of your proven skill set. There are other countless benefits that you can gain after passing the DASCA Senior Data Scientist certification exam.
Pass Guaranteed Quiz 2026 SDS: Senior Data Scientist Fantastic New Exam MaterialsOne way to makes yourself competitive is to pass the SDS certification exams. Hence, if you need help to get certified, you are in the right place. Actual4Exams offers the most comprehensive and updated braindumps for SDS¡¯s certifications. To ensure that our products are of the highest quality, we have tapped the services of SDS experts to review and evaluate our SDS certification test materials. In fact, we continuously provide updates to every customer to ensure that our SDS products can cope with the fast changing trends in SDS certification programs. DASCA Senior Data Scientist Sample Questions (Q39-Q44):NEW QUESTION # 39
Which of the following is correct about microservices?
A. All of the above
B. Each service can be developed in any language that best fits the requirement
C. Each service is a new project
D. Each service is independent
Answer: A
Explanation:
Microservices architecture is a software design approach where applications are developed as a collection of small, loosely coupled, and independently deployable services.
Option A: Correct. Each microservice runs independently and has its own lifecycle, allowing scalability and modularity.
Option B: Correct. Each service can be treated as an independent project with its own repository, build pipeline, and deployment.
Option C: Correct. Microservices can be developed in different programming languages or frameworks, chosen based on the best fit for each specific requirement.
Therefore, the correct answer is Option D (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Management & Engineering: Microservices in Data Ecosystems.
NEW QUESTION # 40
Which of the following is correct for Markov chain?
A. Both A and B
B. A Markov chain is the state of a system at sequential points in time
C. A Markov chain is a sequence of fixed variables X1, X2
D. Both B and C
E. A Markov chain is a sequence of random variables X1, X2
Answer: D
Explanation:
A Markov chain is a stochastic process describing a sequence of possible events, where the probability of each event depends only on the state attained in the previous step (the Markov property).
Option A: Incorrect. The variables are random, not fixed.
Option B: Correct. Markov chains represent the state of a system at sequential time points.
Option C: Correct. A Markov chain is indeed a sequence of random variables {X1, X2, ...} that satisfy the Markov property.
Option D: Incorrect, since A is wrong.
Option E: Correct, because both B and C are valid.
Thus, the correct answer is Option E (Both B and C).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Probabilistic Models: Markov Chains.
NEW QUESTION # 41
Which of the following is TRUE for data lake?
A. None of the above
B. The data lake enables organizations to treat data as an organizational asset to be gathered and nurtured versus a cost to be minimized
C. The data lake enables organizations to gather, manage, enrich, and analyze many new sources of data, whether structured or unstructured
D. The data lake can make both of the Business Intelligence and Data Science environments less agile and more productive
E. The data lake can make both of the Business Intelligence and Data Science environments more agile and more productive
Answer: B,C,E
Explanation:
But per MCQ single-choice format # answer: A (though ideally A, B, C are correct).
A data lake is a centralized repository designed to store raw, structured, semi-structured, and unstructured data at scale. It provides:
Agility and productivity (Option A): Data lakes support flexible ingestion and faster access, making BI and data science environments more efficient.
Data integration (Option B): They handle multiple types of data, enabling advanced analytics and machine learning use cases.
Data as an asset (Option C): They shift perspective, treating data as a strategic resource, not just a storage cost.
Option D: Incorrect. Data lakes improve agility, not reduce it.
Option E: Incorrect, since multiple true statements exist.
Thus, the correct choice per DASCA context is Option A (with B and C also being true).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Engineering: Data Lakes vs Warehouses.
NEW QUESTION # 42
The main purpose of a Statement Of Work (SOW) is to get:
A. All of the above
B. What expectations are realistic
C. None of the above
D. Everybody on the same page about what work should be done
E. What the priorities are
Answer: A
Explanation:
A Statement of Work (SOW) is a formal document that defines the scope, objectives, deliverables, timeline, and expectations of a project. In data science and IT projects, it ensures:
Clarity of scope (Option A): Everyone understands exactly what work should be done.
Clear priorities (Option B): It defines what is most critical for success.
Realistic expectations (Option C): It aligns stakeholders by setting measurable and achievable goals.
Since all of these are essential purposes of an SOW, the correct answer is Option D (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications: Project Governance and SOW.
NEW QUESTION # 43
Which of the following is the most important part of Hadoop?
A. Both B and C
B. Spark Framework
C. MapReduce Framework
D. Both A and B
E. Hadoop Distributed File System (HDFS)
Answer: D
Explanation:
The Hadoop ecosystem consists of multiple components, but the two core components that define Hadoop are:
HDFS (Hadoop Distributed File System): Provides fault-tolerant, scalable storage across distributed clusters.
It is the backbone for storing massive datasets in a distributed fashion.
MapReduce Framework: Provides the parallel computing and data processing layer in Hadoop, enabling batch analysis over distributed datasets.
Option A: Correct, HDFS is essential.
Option B: Correct, MapReduce is essential.
Option C: Incorrect, Spark is a newer processing framework, but it is not originally part of Hadoop core.
Option D: Correct answer since both HDFS and MapReduce are considered the fundamental parts of Hadoop.
Option E: Incorrect, because Spark is not a core Hadoop component (though it integrates with Hadoop).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Big Data Ecosystems: Hadoop Architecture & Components.
NEW QUESTION # 44
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