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NEW QUESTION: 1
You administer a Microsoft SQL Server 2014 instance that contains a financial database hosted on a storage area network (SAN).
The financial database has the following characteristics:
The database is continually modified by users during business hours from Monday through Friday between
09:00 hours and 17:00 hours. Five percent of the existing data is modified each day.
The Finance department loads large CSV files into a number of tables each business day at 11:15 hours and
15:15 hours by using the BCP or BULK INSERT commands. Each data load adds 3 GB of data to the database.
These data load operations must occur in the minimum amount of time.
A full database backup is performed every Sunday at 10:00 hours. Backup operations will be performed every two hours (11:00, 13:00, 15:00, and 17:00) during business hours.
You need to ensure that the minimum amount of data is lost.
Which recovery model should the database use?
A. RESTART
B. SKIP
C. FULL
D. Differential
E. DBO ONLY
F. CONTINUE AFTER ERROR
G. NO_CHECKSUM
H. BULK_LOGGED
I. STANDBY
J. CHECKSUM
K. COPY_ONLY
L. SIMPLE
M. NORECOVERY
N. Transaction log
Answer: C
Explanation:
Explanation
The full recovery model requires log backups. No work is lost due to a lost or damaged data file. Can recover to a specific point in time, assuming that your backups are complete up to that point in time.
NEW QUESTION: 2
Which of the following can an administrator create while building a metrics extract?
A. Scorecards
B. Strategies
C. Projects
D. Diagrams
Answer: A
NEW QUESTION: 3
You need to recommend a temporary solution to reroute all of the outbound email messages through
the Miami mail appliance during the planned replacement of the New York mail appliance.
What are three possible ways to achieve the goal? (Each correct answer presents a complete solution.
Choose three.)
A. Disable the Send connector in the New York office.
B. Increase the cost of the Send connector in the New York office.
C. Modify the value of the SmartHost of the Send connector in the Miami office.
D. Decrease the cost of the Send connector in the New York office.
E. Modify the value of the SmartHost of the Send connector in the New York office.
F. Increase the cost of the Send connector in the Miami office.
Answer: A,B,E
NEW QUESTION: 4
A large consumer goods manufacturer has the following products on sale:
- 34 different toothpaste variants
- 48 different toothbrush variants
- 43 different mouthwash variants
The entire sales history of all these products is available in Amazon S3. Currently, the company is using custom-built autoregressive integrated moving average (ARIMA) models to forecast demand for these products. The company wants to predict the demand for a new product that will soon be launched.
Which solution should a Machine Learning Specialist apply?
A. Train a custom ARIMA model to forecast demand for the new product.
B. Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.
C. Train an Amazon SageMaker DeepAR algorithm to forecast demand for the new product.
D. Train a custom XGBoost model to forecast demand for the new product.
Answer: C
Explanation:
The Amazon SageMaker DeepAR forecasting algorithm is a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN). Classical forecasting methods, such as autoregressive integrated moving average (ARIMA) or exponential smoothing (ETS), fit a single model to each individual time series. They then use that model to extrapolate the time series into the future.
https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html