Content level settings in fact LTS

Hi all,
i just want to get very clear picture upon content level settings of LTS, when we create a dimensional hierarchy say time hierarchy (Year, Quarter, Month, Day), when we want a measure to sum up to month level we go to that particular measure column in fact and set its content level to month, now i want to know the significance of content level in LTS of the fact table, suppose if i set content level of whole fact table to "month" does all the measures in the fact sum to month level or how it is going to impact the result. In what scenario do we use the content setting in fact LTS?
Many Thanks,
Sreekanth

Hi,
@Kishore
thank you for quick reply, to get more clarity now lets assume we have one fact table with daily granular data and one aggregate table with month granular data, so when i drag and drop aggregated measures to BMM it creates another LTS for aggregate table, in that aggregate table we would set the content level as "MONTH" so whenever a report is constructed based on month columns and measures, BI Server picks aggregate table since it has LTS at month level. Is my understanding correct?
Now, i have a connecting question.. we have monthly aggregate table which has 2 columns:
1. MONTH_CODE (1999-01,1999-02,...)
2. SALES_AMT
now if i join TIME_DIM.MONTH_CODE = AGGREGATE_TABLE.MONTH_CODE
time dimension (TIME_DIM ) has records with day granularity so there will be 31 "1999-01" in TIME_DIM, this will result in summing up same measure value 31 times, so this will result in high numbers, so in this case what would be the ideal join condition to be used between aggregate table and time dimension, or what is the ideal join column to be used in aggregate table for joining to time dimension at day level.
Much appreciated...
Sreekanth

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