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NEW QUESTION: 1
View the Exhibit 1.
In the CUSTOMERS_OBE table, when the value of CUST_STATE_PROVINCE is "CA", the value of COUNTRY_ID is "US." View the Exhibit exhibit2 to examine the commands and query plans. The optimizer can sense 8 rows instead of 29 rows, which is the actual number of rows in the table.
What can you do to make the optimizer detect the actual selectivity?
desc-customers_obe (exhibit):

sql-select-customers_obe (exhibit):

A. Change the STALE_PERCENT value for the CUSTOMERS_OBE table.
B. Create extended statistics for the CUST_STATE_PROVINCE and CUSTOMERS_OBE columns.
C. Set the OPTIMIZER_USE_PENDING_STATISTICS parameter to FALSE.
D. Set the STATISTICS_LEVEL parameter to TYPICAL.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Determining Single Column Statistics
A good example of correlated or related columns are the country_id and cust_state_province columns in the CUSTOMERS_OBE table. When the value of cust_state_province is 'CA' , the value of country_id is
'US'. There is a skew in the data in these two columns, which means the majority of rows in the table have the values 'CA' and 'US'. Both the relationship between the columns and the skew in the data make it difficult for the optimizer to calculate the selectivity or cardinality of these columns correctly when they are used together in a query. Extended statistics should help in this situation.

NEW QUESTION: 2
You need to analyze 60,000,000 images stored in JPEG format, each of which is approximately 25 KB. Because you
Hadoop cluster isn't optimized for storing and processing many small files, you decide to do the following actions:
1. Group the individual images into a set of larger files
2. Use the set of larger files as input for a MapReduce job that processes them directly with python using Hadoop
streaming.
Which data serialization system gives the flexibility to do this?
A. CSV
B. SequenceFiles
C. Avro
D. JSON
E. HTML
F. XML
Answer: A,F

NEW QUESTION: 3
Comparing actual results with a budget based on achieved volume is possible with the use of a:
A. Rolling budget.
B. Master budget.
C. Monthly budget.
D. Flexible budget.
Answer: D
Explanation:
A flexible budget is essentially a series of several budgets prepared for many levels of sales or production. At the end of the period, management can compare actual costs or performance with the appropriate budgeted level in the flexible budget. New columns can quickly be made by interpolation or extrapolation, if necessary. A flexible budget is designed to allow adjustment of the budget to the actual level of activity} before comparing the budgeted activity with actual results.

NEW QUESTION: 4
Refer to the exhibit.

Which API call made to Cisco Meeting Server removes the inbound dial plan rule matching cms.lab domain?
A. PUT to /api/v1/inboundDialPalnRules/2c5662ab-7e5a-45a8-a133-5f4d6c6cb509.
B. PUT to /api/v1/inboundDialPalnRules/2c5662ab-7e5a-45a8-a133-5f4d6c6cb509 with body attribute delete="True".
C. DELETE to /api/v1/inboundDialPalnRules/ with body attribute id="2c5662ab-7e5a-45a8-a133- 5f4d6c6cb509".
D. DELETE to /api/v1/inboundDialPalnRules/2c5662ab-7e5a-45a8-a133-5f4d6c6cb509.
Answer: D

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