SAS Certified Data Scientist Practice Test
SAS Certified Data Scientist के लिए अपना आत्मविश्वास बढ़ाएँ। अवधारणाओं का अभ्यास करें, उत्तरों को समझें और हर सवाल के साथ अपना ज्ञान मज़बूत करें।
एक नमूना सवाल आज़माएँपरीक्षा का परिचय और विवरण
The SAS Certified Data Scientist certification validates comprehensive expertise in the end-to-end data science lifecycle using the SAS platform. This professional credential demonstrates mastery of advanced analytics, machine learning, statistical modeling, and data manipulation techniques within the SAS ecosystem, including both traditional SAS and the modern, cloud-native SAS Viya. Earning this certification signifies the ability to transform complex data into actionable insights, build and deploy robust predictive models, and apply sophisticated analytical methods like forecasting, natural language processing, and text analytics to solve real-world business problems. It is recognized globally as a benchmark for professionals who can leverage SAS technologies to drive data-informed decision-making, making certified individuals highly valuable assets in industries such as finance, healthcare, pharmaceuticals, and retail where SAS is a dominant analytical platform.
नमूना प्रश्न
अभ्यास कैसे काम करता है, यह जानने के लिए एक उत्तर चुनें और व्याख्या देखें।
A compliance analyst wants to verify the exact SQL definition behind a view before approving it for production. Which PROC SQL statement should be used?
A production macro fails only when called from another macro. The log shows that generated SAS statements look correct, but macro variable resolution appears to change between compile and execution. Which diagnostic option is most targeted for tracing macro variable resolution?
A modeling table has a continuous income variable with 18 percent missing values. The business believes missingness itself may indicate a different customer behavior. What imputation design is most appropriate?
A bank's compliance reviewer asks why a black-box model declined a specific loan application. The champion model is a neural network in Model Studio. Which tool or output is most appropriate for explaining the individual prediction?
A data integration query joins PATIENTS to VISITS. Both tables contain AGE, but the output should keep PATIENTS.AGE and rename VISITS.AGE to age_at_visit. Which PROC SQL technique is most appropriate?
करियर के अवसर और वेतन
जब तक लोकल रेंज न दिखे, ये US मार्केट के आंकड़े हैं।
इस परीक्षा में क्या शामिल है
01Advanced Analytics
Statistical analysis, regression, and advanced analytical techniques in SAS
02Data Manipulation with SAS
Data wrangling and manipulation using SAS procedures and DATA steps
03Forecasting
Time series analysis and forecasting methods with SAS
04Machine Learning in SAS
Supervised and unsupervised machine learning algorithms in SAS
05Model Building
Model development, validation, and selection in SAS
06Natural Language Processing
NLP techniques for text processing and sentiment analysis using SAS
07SAS Viya
Cloud-native SAS Viya platform, architecture, and tools
08Text Analytics
Text mining, topic modeling, and document clustering with SAS